MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4112
Single Precision Score
6915
Half Precision Score
5568
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jpots87 |
| Upload Date | January 25 2025 05:33 PM |
| Views | 2 |
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, 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% |
1556
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
2820
524.5 IPS |
|
|
Image Classification (Q)
|
96% |
1947
363.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8691
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17011
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14622
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3129
249.1 IPS |
|
|
Object Detection (Q)
|
94% |
2266
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13284
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21983
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33212
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27576
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4332
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2811
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4988
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4980
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6471
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
