MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11707
Single Precision Score
13835
Half Precision Score
10287
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | September 24 2024 04:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5904
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6668
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
6578
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7682
124.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10250
166.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10341
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45279
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48249
56.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
44670
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
6018
477.4 IPS |
|
|
Object Detection (HP)
|
100% |
6340
502.9 IPS |
|
|
Object Detection (Q)
|
91% |
5275
421.5 IPS |
|
|
Face Detection (SP)
|
100% |
16872
200.5 IPS |
|
|
Face Detection (HP)
|
100% |
21143
251.2 IPS |
|
|
Face Detection (Q)
|
100% |
15915
189.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27231
209.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29673
228.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
4529
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
92511
118.9 IPS |
|
|
Style Transfer (HP)
|
100% |
105831
136.0 IPS |
|
|
Style Transfer (Q)
|
100% |
105488
135.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14961
552.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16143
596.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11898
440.8 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1930
33.4 IPS |
