MacBook Pro (13-inch, 2022)
Geekbench AI Score
7574
Single Precision Score
8487
Half Precision Score
7724
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3763
699.8 IPS |
|
|
Image Classification (HP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (Q)
|
96% |
3307
617.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6021
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5716
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24808
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26882
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25992
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3596
285.2 IPS |
|
|
Object Detection (HP)
|
100% |
3604
285.9 IPS |
|
|
Object Detection (Q)
|
92% |
3456
275.8 IPS |
|
|
Face Detection (SP)
|
100% |
10430
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12182
144.8 IPS |
|
|
Face Detection (Q)
|
100% |
10075
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16712
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17965
138.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16711
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43010
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49113
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47695
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9836
363.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10083
372.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8985
331.8 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3710
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1665
28.8 IPS |
