MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10476
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 10:28 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3.1 (Build 23D60) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5584
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7102
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
8060
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2217
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2182
36.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2132
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
43258
52.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94302
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96151
116.4 IPS |
|
|
Object Detection (F32)
|
100% |
4454
332.5 IPS |
|
|
Object Detection (F16)
|
100% |
4908
366.4 IPS |
|
|
Object Detection (I8)
|
97% |
4065
303.4 IPS |
|
|
Face Detection (F32)
|
100% |
15775
187.6 IPS |
|
|
Face Detection (F16)
|
97% |
15513
184.5 IPS |
|
|
Face Detection (I8)
|
96% |
14614
173.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
26534
205.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40518
314.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
42206
327.3 IPS |
|
|
Style Transfer (F32)
|
100% |
88021
115.8 IPS |
|
|
Style Transfer (F16)
|
100% |
147009
193.4 IPS |
|
|
Style Transfer (I8)
|
100% |
147238
193.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10300
367.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20344
726.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20670
738.2 IPS |
|
|
Text Classification (F32)
|
100% |
580
834.0 IPS |
|
|
Text Classification (F16)
|
100% |
3767
5.41 KIPS |
|
|
Text Classification (I8)
|
96% |
3935
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1066
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3004
55.3 IPS |
|
|
Machine Translation (I8)
|
99% |
955
17.6 IPS |
