M2 MacBook Pro MacBook Pro (13-inch, 2022)
Geekbench AI Score
3314
Single Precision Score
6055
Half Precision Score
4929
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | UNF12 |
| Upload Date | September 27 2025 01:19 PM |
| Views | 5 |
| Notes | 24GB system memory, 1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
2516
468.0 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12900
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2863
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
2078
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6088
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5379
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11026
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7774
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18093
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28221
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23511
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3750
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6815
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6859
118.5 IPS |
