MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4145
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 03:56 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1640
306.9 IPS |
|
|
Image Classification (F16)
|
100% |
2098
392.5 IPS |
|
|
Image Classification (I8)
|
99% |
2097
392.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1010
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1013
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8309
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16351
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16347
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1693
126.4 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1696
126.6 IPS |
|
|
Face Detection (F32)
|
100% |
3293
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
5041
59.9 IPS |
|
|
Face Detection (I8)
|
97% |
5017
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6693
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9611
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9599
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
21060
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30674
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30721
40.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5162
184.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5894
210.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5797
207.0 IPS |
|
|
Text Classification (F32)
|
100% |
2595
3.73 KIPS |
|
|
Text Classification (F16)
|
100% |
4230
6.08 KIPS |
|
|
Text Classification (I8)
|
96% |
4204
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1695
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1453
26.7 IPS |
