MacBook Pro (13-inch, 2022)
Geekbench AI Score
3306
Single Precision Score
6043
Half Precision Score
4910
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 10:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6296
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12966
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2802
223.1 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5429
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10979
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7732
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18016
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28352
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23534
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6783
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6828
118.0 IPS |
