MacBook Pro (13-inch, 2022)
Geekbench AI Score
3442
Single Precision Score
6050
Half Precision Score
4902
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 05:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13042
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2843
226.3 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5970
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5543
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10990
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7805
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18495
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29114
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24042
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3757
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6519
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6216
107.4 IPS |
