MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
6871
Half Precision Score
5597
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | justadri |
| Upload Date | December 13 2024 10:46 AM |
| Views | 6 |
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 (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.0 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17278
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14877
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2290
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6598
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7260
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13362
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9168
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22271
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32964
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27550
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4246
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6466
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6496
112.3 IPS |
