MacBook Pro (13-inch, 2022)
Geekbench AI Score
7539
Single Precision Score
8278
Half Precision Score
7690
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:35 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3601
669.7 IPS |
|
|
Image Classification (HP)
|
100% |
3575
664.9 IPS |
|
|
Image Classification (Q)
|
96% |
3285
613.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5922
96.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5653
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24481
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26698
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26045
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3530
280.0 IPS |
|
|
Object Detection (HP)
|
100% |
3634
288.2 IPS |
|
|
Object Detection (Q)
|
92% |
3437
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
10301
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
12239
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
10080
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16692
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18034
138.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16589
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42732
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49083
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47539
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9815
362.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10101
373.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8715
321.8 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1670
28.9 IPS |
