MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2421
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 09:26 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1328
248.5 IPS |
|
|
Image Classification (F16)
|
100% |
1220
228.3 IPS |
|
|
Image Classification (I8)
|
99% |
1225
229.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
692
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
652
10.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
647
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8264
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13458
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13369
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (I8)
|
97% |
1396
104.2 IPS |
|
|
Face Detection (F32)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (F16)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (I8)
|
99% |
2276
27.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4271
33.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
4258
33.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4287
33.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12624
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14382
18.9 IPS |
|
|
Style Transfer (I8)
|
100% |
14903
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3856
137.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2684
95.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3167
113.1 IPS |
|
|
Text Classification (F32)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (I8)
|
96% |
760
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1189
21.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1226
22.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1124
20.7 IPS |
