250325 MacBook Pro 14 M3 Pro MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
6914
Half Precision Score
5605
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gethen |
| Upload Date | December 15 2024 01:55 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.5 IPS |
|
|
Image Classification (Q)
|
96% |
1934
361.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8895
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17190
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14924
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3207
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2300
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13371
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9176
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22365
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33583
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27551
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4892
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6381
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6407
110.7 IPS |
