MacBook Pro (13-inch, 2022)
Geekbench ML Score
6051
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 30 2025 06:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.28 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% |
3346
626.0 IPS |
|
|
Image Classification (F16)
|
100% |
3471
649.6 IPS |
|
|
Image Classification (I8)
|
99% |
2503
468.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1599
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1405
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23180
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25470
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
24826
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2460
183.6 IPS |
|
|
Object Detection (F16)
|
100% |
2765
206.5 IPS |
|
|
Object Detection (I8)
|
97% |
2463
183.8 IPS |
|
|
Face Detection (F32)
|
100% |
8181
97.3 IPS |
|
|
Face Detection (F16)
|
98% |
10568
125.7 IPS |
|
|
Face Detection (I8)
|
97% |
10387
123.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16464
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17721
137.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17401
134.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41195
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47363
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47325
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9621
343.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10374
370.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10241
365.7 IPS |
|
|
Text Classification (F32)
|
100% |
2163
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3398
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
