MacBook Pro (13-inch, 2022)
Geekbench ML Score
5702
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 11 2025 06:20 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3072
574.8 IPS |
|
|
Image Classification (F16)
|
100% |
3167
592.6 IPS |
|
|
Image Classification (I8)
|
99% |
2775
519.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
20854
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23714
28.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25410
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2517
187.9 IPS |
|
|
Object Detection (F16)
|
100% |
2919
217.9 IPS |
|
|
Object Detection (I8)
|
97% |
2597
193.9 IPS |
|
|
Face Detection (F32)
|
100% |
7923
94.2 IPS |
|
|
Face Detection (F16)
|
98% |
10561
125.6 IPS |
|
|
Face Detection (I8)
|
97% |
9186
109.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
14229
110.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17549
136.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17651
136.9 IPS |
|
|
Style Transfer (F32)
|
100% |
38570
50.7 IPS |
|
|
Style Transfer (F16)
|
100% |
43474
57.2 IPS |
|
|
Style Transfer (I8)
|
100% |
43748
57.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9495
339.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9069
323.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8838
315.6 IPS |
|
|
Text Classification (F32)
|
100% |
2004
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3181
4.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3151
4.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
959
17.6 IPS |
|
|
Machine Translation (I8)
|
99% |
967
17.8 IPS |
