M2 MacBook Pro MacBook Pro (13-inch, 2022)
Geekbench AI Score
7294
Single Precision Score
8310
Half Precision Score
7701
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | UNF12 |
| Upload Date | September 27 2025 01:23 PM |
| Views | 6 |
| Notes | 24GB system memory, 1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3813
709.2 IPS |
|
|
Image Classification (HP)
|
100% |
3789
704.7 IPS |
|
|
Image Classification (Q)
|
96% |
3395
633.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5768
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5937
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5683
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24520
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26891
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26023
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (HP)
|
100% |
3668
291.0 IPS |
|
|
Object Detection (Q)
|
92% |
3472
277.2 IPS |
|
|
Face Detection (SP)
|
100% |
10427
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12189
144.8 IPS |
|
|
Face Detection (Q)
|
100% |
10114
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16851
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18139
139.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
16673
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42165
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49218
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47638
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9785
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8882
328.0 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1510
26.1 IPS |
