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 16 2024 09:07 AM |
| Views | 2 |
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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1652
309.1 IPS |
|
|
Image Classification (F16)
|
100% |
2094
391.8 IPS |
|
|
Image Classification (I8)
|
99% |
2076
388.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1057
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1021
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8267
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16357
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16353
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1685
125.8 IPS |
|
|
Object Detection (F16)
|
100% |
2261
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1689
126.1 IPS |
|
|
Face Detection (F32)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (F16)
|
97% |
4992
59.4 IPS |
|
|
Face Detection (I8)
|
97% |
4957
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6671
51.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9553
74.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9608
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20991
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30960
40.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30888
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5139
183.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6089
217.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6206
221.6 IPS |
|
|
Text Classification (F32)
|
100% |
2608
3.75 KIPS |
|
|
Text Classification (F16)
|
100% |
4129
5.93 KIPS |
|
|
Text Classification (I8)
|
96% |
4199
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1448
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1444
26.6 IPS |
