MacBook Pro (13-inch, 2022)
Geekbench AI Score
3444
Single Precision Score
6042
Half Precision Score
4922
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15274
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13134
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5978
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3426
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5557
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11146
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7833
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18619
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29266
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24222
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6439
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6402
110.6 IPS |
