MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
5138
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1505
281.6 IPS |
|
|
Image Classification (F16)
|
100% |
2409
450.7 IPS |
|
|
Image Classification (I8)
|
99% |
2410
451.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1523
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
15991
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
27271
33.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25844
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
1790
133.6 IPS |
|
|
Object Detection (F16)
|
100% |
2699
201.5 IPS |
|
|
Object Detection (I8)
|
97% |
1812
135.3 IPS |
|
|
Face Detection (F32)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (F16)
|
97% |
6465
76.9 IPS |
|
|
Face Detection (I8)
|
97% |
6313
75.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7187
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12976
100.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
12921
100.2 IPS |
|
|
Style Transfer (F32)
|
100% |
30029
39.5 IPS |
|
|
Style Transfer (F16)
|
100% |
41710
54.9 IPS |
|
|
Style Transfer (I8)
|
100% |
40673
53.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6042
215.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7924
283.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7881
281.4 IPS |
|
|
Text Classification (F32)
|
100% |
2467
3.54 KIPS |
|
|
Text Classification (F16)
|
100% |
4223
6.07 KIPS |
|
|
Text Classification (I8)
|
96% |
4334
6.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1616
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1909
35.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1618
29.8 IPS |
