MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10621
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | DongDong127 |
| Upload Date | August 17 2024 03:49 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5615
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
7287
1.36 KIPS |
|
|
Image Classification (I8)
|
99% |
7875
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2201
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2113
35.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2186
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
43187
52.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95330
115.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97341
117.9 IPS |
|
|
Object Detection (F32)
|
100% |
4458
332.8 IPS |
|
|
Object Detection (F16)
|
100% |
4747
354.4 IPS |
|
|
Object Detection (I8)
|
97% |
4092
305.5 IPS |
|
|
Face Detection (F32)
|
100% |
14740
175.3 IPS |
|
|
Face Detection (F16)
|
97% |
12819
152.4 IPS |
|
|
Face Detection (I8)
|
96% |
12805
152.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
26688
207.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39804
308.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
42637
330.7 IPS |
|
|
Style Transfer (F32)
|
100% |
87821
115.5 IPS |
|
|
Style Transfer (F16)
|
100% |
146142
192.2 IPS |
|
|
Style Transfer (I8)
|
100% |
146328
192.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9670
345.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20304
725.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19453
694.7 IPS |
|
|
Text Classification (F32)
|
100% |
1267
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3868
5.56 KIPS |
|
|
Text Classification (I8)
|
96% |
4007
5.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3096
57.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1022
18.8 IPS |
