MacBook Pro (13-inch, 2022)
Geekbench ML Score
5302
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 06 2025 10:07 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2920
546.5 IPS |
|
|
Image Classification (F16)
|
100% |
2498
467.4 IPS |
|
|
Image Classification (I8)
|
99% |
2659
497.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1282
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1075
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22393
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24910
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
23347
28.3 IPS |
|
|
Object Detection (F32)
|
100% |
2730
203.8 IPS |
|
|
Object Detection (F16)
|
100% |
2600
194.1 IPS |
|
|
Object Detection (I8)
|
97% |
1856
138.6 IPS |
|
|
Face Detection (F32)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (F16)
|
98% |
9280
110.3 IPS |
|
|
Face Detection (I8)
|
97% |
10508
124.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16340
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13114
101.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17423
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40990
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47736
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47597
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6661
237.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7495
267.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7385
263.7 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3471
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3464
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
