MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7849
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 09:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4156
777.7 IPS |
|
|
Image Classification (F16)
|
100% |
5782
1.08 KIPS |
|
|
Image Classification (I8)
|
99% |
5308
993.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2243
37.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2325
38.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2310
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
42722
51.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
45683
55.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
44447
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
3420
255.3 IPS |
|
|
Object Detection (F16)
|
100% |
4521
337.6 IPS |
|
|
Object Detection (I8)
|
97% |
3856
287.9 IPS |
|
|
Face Detection (F32)
|
100% |
15482
184.1 IPS |
|
|
Face Detection (F16)
|
97% |
17737
210.9 IPS |
|
|
Face Detection (I8)
|
96% |
16140
191.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26570
206.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
30557
237.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
26619
206.4 IPS |
|
|
Style Transfer (F32)
|
100% |
87414
115.0 IPS |
|
|
Style Transfer (F16)
|
100% |
99223
130.5 IPS |
|
|
Style Transfer (I8)
|
100% |
97843
128.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10658
380.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10293
367.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9822
350.8 IPS |
|
|
Text Classification (F32)
|
100% |
1261
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
882
1.27 KIPS |
|
|
Text Classification (I8)
|
96% |
895
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
935
17.2 IPS |
