MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
8993
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2024 08:15 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5158
965.1 IPS |
|
|
Image Classification (F16)
|
100% |
5494
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
5053
945.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2089
34.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2072
34.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2171
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
42593
51.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
45123
54.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
43502
52.7 IPS |
|
|
Object Detection (F32)
|
100% |
4306
321.5 IPS |
|
|
Object Detection (F16)
|
100% |
4452
332.4 IPS |
|
|
Object Detection (I8)
|
97% |
3975
296.8 IPS |
|
|
Face Detection (F32)
|
100% |
14156
168.3 IPS |
|
|
Face Detection (F16)
|
98% |
16607
197.5 IPS |
|
|
Face Detection (I8)
|
97% |
16792
199.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26076
202.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
28321
219.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
26738
207.4 IPS |
|
|
Style Transfer (F32)
|
100% |
86192
113.4 IPS |
|
|
Style Transfer (F16)
|
100% |
98765
129.9 IPS |
|
|
Style Transfer (I8)
|
100% |
96811
127.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10902
389.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10800
385.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10345
369.4 IPS |
|
|
Text Classification (F32)
|
100% |
2533
3.64 KIPS |
|
|
Text Classification (F16)
|
100% |
4378
6.29 KIPS |
|
|
Text Classification (I8)
|
96% |
4328
6.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1012
18.6 IPS |
