MacBook Pro (13-inch, 2022)
Geekbench AI Score
3262
Single Precision Score
5753
Half Precision Score
4754
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jacofaco |
| Upload Date | June 15 2025 03:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2436
453.1 IPS |
|
|
Image Classification (Q)
|
96% |
1712
319.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2744
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13139
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1996
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3431
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5333
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10160
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7279
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17825
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28625
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23664
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3670
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6080
105.1 IPS |
