MacBook Pro (13-inch, 2022)
Geekbench AI Score
3452
Single Precision Score
5977
Half Precision Score
4848
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
2474
460.2 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15113
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12896
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.5 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5555
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10961
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7688
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18596
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28984
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24031
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6614
114.3 IPS |
