MacBook Pro (13-inch, 2022)
Geekbench AI Score
3433
Single Precision Score
6017
Half Precision Score
4893
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 07:06 AM |
| Views | 3 |
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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15232
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13037
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.5 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5826
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5508
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10987
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7728
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18594
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29117
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24138
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3726
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6427
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6437
111.2 IPS |
