MacBook Pro (13-inch, 2022)
Geekbench ML Score
5811
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 30 2025 06:20 PM |
| Views | 4 |
System Information
| 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 | 3.47 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% |
3384
633.3 IPS |
|
|
Image Classification (F16)
|
100% |
2860
535.2 IPS |
|
|
Image Classification (I8)
|
99% |
3435
642.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1466
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22955
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25673
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25678
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2890
215.8 IPS |
|
|
Object Detection (F16)
|
100% |
2826
211.0 IPS |
|
|
Object Detection (I8)
|
97% |
2607
194.6 IPS |
|
|
Face Detection (F32)
|
100% |
7426
88.3 IPS |
|
|
Face Detection (F16)
|
98% |
10031
119.3 IPS |
|
|
Face Detection (I8)
|
97% |
10321
122.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16027
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16080
124.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17385
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40760
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
45067
59.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47583
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9214
329.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10085
360.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6029
215.3 IPS |
|
|
Text Classification (F32)
|
100% |
1976
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3379
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
996
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1035
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1081
19.9 IPS |
