MacBook Pro (13-inch, 2022)
Geekbench ML Score
5806
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 22 2025 05:50 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 | 3.30 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% |
3496
654.2 IPS |
|
|
Image Classification (F16)
|
100% |
3391
634.6 IPS |
|
|
Image Classification (I8)
|
99% |
3396
635.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1460
24.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1383
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23491
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25510
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25202
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2874
214.5 IPS |
|
|
Object Detection (F16)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (I8)
|
97% |
2811
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
8875
105.5 IPS |
|
|
Face Detection (F16)
|
98% |
10465
124.4 IPS |
|
|
Face Detection (I8)
|
97% |
10481
124.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16763
130.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18230
141.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
15750
122.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41229
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
40621
53.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47050
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6483
231.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6581
235.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6899
246.4 IPS |
|
|
Text Classification (F32)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3550
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3631
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
916
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
892
16.4 IPS |
