MacBook Pro (13-inch, 2022)
Geekbench ML Score
5225
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 30 2025 06:55 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.47 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% |
3272
612.3 IPS |
|
|
Image Classification (F16)
|
100% |
1332
249.3 IPS |
|
|
Image Classification (I8)
|
99% |
3251
608.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1311
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18932
22.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25004
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25156
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2745
204.9 IPS |
|
|
Object Detection (F16)
|
100% |
1789
133.6 IPS |
|
|
Object Detection (I8)
|
97% |
2712
202.5 IPS |
|
|
Face Detection (F32)
|
100% |
9211
109.5 IPS |
|
|
Face Detection (F16)
|
98% |
10687
127.1 IPS |
|
|
Face Detection (I8)
|
97% |
7738
92.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
11674
90.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17446
135.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17266
133.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40424
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
44588
58.7 IPS |
|
|
Style Transfer (I8)
|
100% |
44399
58.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5293
189.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6786
242.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5983
213.7 IPS |
|
|
Text Classification (F32)
|
100% |
2027
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3356
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
908
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
894
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
882
16.2 IPS |
