MacBook Pro (13-inch, 2022)
Geekbench ML Score
5399
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 05:53 PM |
| Views | 6 |
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 | 3.22 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% |
3379
632.3 IPS |
|
|
Image Classification (F16)
|
100% |
3445
644.7 IPS |
|
|
Image Classification (I8)
|
99% |
3463
648.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1457
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1549
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23147
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25094
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25120
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2575
192.2 IPS |
|
|
Object Detection (F16)
|
100% |
2649
197.7 IPS |
|
|
Object Detection (I8)
|
97% |
2766
206.5 IPS |
|
|
Face Detection (F32)
|
100% |
9166
109.0 IPS |
|
|
Face Detection (F16)
|
98% |
10610
126.2 IPS |
|
|
Face Detection (I8)
|
97% |
10157
120.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14762
114.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14338
111.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
15196
117.8 IPS |
|
|
Style Transfer (F32)
|
100% |
35930
47.3 IPS |
|
|
Style Transfer (F16)
|
100% |
39958
52.6 IPS |
|
|
Style Transfer (I8)
|
100% |
33101
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5001
178.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5260
187.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7619
272.1 IPS |
|
|
Text Classification (F32)
|
100% |
1983
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3305
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
1406
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
970
17.8 IPS |
|
|
Machine Translation (I8)
|
99% |
957
17.6 IPS |
