MacBook Pro (13-inch, 2022)
Geekbench AI Score
3445
Single Precision Score
5988
Half Precision Score
4859
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:17 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.6 IPS |
|
|
Image Classification (Q)
|
96% |
1714
320.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2736
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15136
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12914
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2799
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10911
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7749
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18589
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29159
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24022
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3647
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6818
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6769
117.0 IPS |
