MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4146
Single Precision Score
7018
Half Precision Score
5711
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 29 2025 05:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
96% |
1962
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3249
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8996
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17487
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14996
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2290
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6613
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12703
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8913
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22237
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34130
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28140
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5176
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5089
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7618
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7623
131.7 IPS |
