MacBook Pro (13-inch, 2022)
Geekbench AI Score
3510
Single Precision Score
6038
Half Precision Score
4869
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jaalghamdi |
| Upload Date | April 09 2025 01:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2859
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14917
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12912
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2864
228.0 IPS |
|
|
Object Detection (Q)
|
94% |
2074
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6106
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11668
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8082
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28904
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23974
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5945
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5933
102.5 IPS |
