MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4142
Single Precision Score
6867
Half Precision Score
5573
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 03 2024 11:41 PM |
| Views | 19 |
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% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2787
518.3 IPS |
|
|
Image Classification (Q)
|
96% |
1935
361.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8932
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14888
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
97% |
3209
255.5 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7231
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13358
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9182
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22375
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33494
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27953
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4746
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6352
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6375
110.2 IPS |
