MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10904
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2024 04:37 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5900
1.10 KIPS |
|
|
Image Classification (F16)
|
100% |
6128
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6489
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2830
47.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2876
48.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2879
48.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
61544
74.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
63588
77.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64037
77.5 IPS |
|
|
Object Detection (F32)
|
100% |
3512
262.2 IPS |
|
|
Object Detection (F16)
|
100% |
4003
298.9 IPS |
|
|
Object Detection (I8)
|
97% |
3431
256.2 IPS |
|
|
Face Detection (F32)
|
100% |
20259
240.9 IPS |
|
|
Face Detection (F16)
|
98% |
22590
268.6 IPS |
|
|
Face Detection (I8)
|
97% |
23208
276.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
30162
233.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
31755
246.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
30366
235.5 IPS |
|
|
Style Transfer (F32)
|
100% |
126259
166.1 IPS |
|
|
Style Transfer (F16)
|
100% |
140739
185.1 IPS |
|
|
Style Transfer (I8)
|
100% |
139643
183.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13877
495.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13344
476.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9489
338.9 IPS |
|
|
Text Classification (F32)
|
100% |
2431
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
4296
6.17 KIPS |
|
|
Text Classification (I8)
|
96% |
4394
6.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1280
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2000
36.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1277
23.5 IPS |
