Apple M3Pro (11Core(6ECore,5PCore)) MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4153
Single Precision Score
7008
Half Precision Score
5717
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:25 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.4 IPS |
|
|
Image Classification (Q)
|
96% |
1954
364.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17478
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14993
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3190
254.0 IPS |
|
|
Object Detection (Q)
|
94% |
2289
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
3783
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12733
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8923
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22330
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34117
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28106
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5109
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7722
133.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7775
134.4 IPS |
