MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4097
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1697
317.5 IPS |
|
|
Image Classification (F16)
|
100% |
2008
375.8 IPS |
|
|
Image Classification (I8)
|
99% |
2017
377.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1081
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1053
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8221
9.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
16262
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15908
19.3 IPS |
|
|
Object Detection (F32)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
2282
170.4 IPS |
|
|
Object Detection (I8)
|
97% |
1717
128.2 IPS |
|
|
Face Detection (F32)
|
100% |
3471
41.3 IPS |
|
|
Face Detection (F16)
|
97% |
5072
60.3 IPS |
|
|
Face Detection (I8)
|
97% |
5037
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6775
52.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9736
75.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9791
75.9 IPS |
|
|
Style Transfer (F32)
|
100% |
19095
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28752
37.8 IPS |
|
|
Style Transfer (I8)
|
100% |
29205
38.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5115
182.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5136
183.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5278
188.5 IPS |
|
|
Text Classification (F32)
|
100% |
2531
3.64 KIPS |
|
|
Text Classification (F16)
|
100% |
4205
6.04 KIPS |
|
|
Text Classification (I8)
|
96% |
4194
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
