MacBook Pro (13-inch, 2022)
Geekbench ML Score
5674
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 09 2025 07:51 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.46 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% |
3382
632.9 IPS |
|
|
Image Classification (F16)
|
100% |
3417
639.4 IPS |
|
|
Image Classification (I8)
|
99% |
3463
648.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1003
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23451
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25101
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25241
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2971
221.8 IPS |
|
|
Object Detection (I8)
|
97% |
2908
217.1 IPS |
|
|
Face Detection (F32)
|
100% |
9362
111.3 IPS |
|
|
Face Detection (F16)
|
98% |
10787
128.3 IPS |
|
|
Face Detection (I8)
|
97% |
10838
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12373
96.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17470
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17349
134.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40542
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
46561
61.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47660
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7093
253.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7726
275.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6745
240.9 IPS |
|
|
Text Classification (F32)
|
100% |
2119
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3411
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3427
4.93 KIPS |
|
|
Machine Translation (F32)
|
0% |
703
12.9 IPS |
|
|
Machine Translation (F16)
|
0% |
725
13.3 IPS |
|
|
Machine Translation (I8)
|
0% |
728
13.4 IPS |
