MacBook Pro (13-inch, 2022)
Geekbench AI Score
3322
Single Precision Score
6063
Half Precision Score
4904
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Computer-Test-21987 |
| Upload Date | March 11 2026 06:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2772
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14998
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12794
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2816
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10962
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7687
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28152
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23458
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6903
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6868
118.7 IPS |
