MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
6862
Half Precision Score
5582
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 04 2024 12:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.6 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8975
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17292
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14921
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3210
255.6 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6631
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13399
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9210
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22428
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33394
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27484
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4703
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6384
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6364
110.0 IPS |
