MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4174
Single Precision Score
6901
Half Precision Score
5623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.6 IPS |
|
|
Image Classification (Q)
|
96% |
1944
363.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8979
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17242
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14894
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
97% |
3221
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2302
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6759
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7252
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13399
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9193
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33492
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27530
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4962
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6523
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6486
112.1 IPS |
