MacBook Pro (13-inch, 2022)
Geekbench ML Score
5905
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 06 2025 03:17 PM |
| Views | 3 |
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 | 3.46 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% |
3463
648.1 IPS |
|
|
Image Classification (F16)
|
100% |
3449
645.3 IPS |
|
|
Image Classification (I8)
|
99% |
3398
635.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1580
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1320
22.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1260
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23346
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25300
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25800
31.2 IPS |
|
|
Object Detection (F32)
|
100% |
2823
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
2891
215.9 IPS |
|
|
Object Detection (I8)
|
97% |
2458
183.5 IPS |
|
|
Face Detection (F32)
|
100% |
9198
109.4 IPS |
|
|
Face Detection (F16)
|
98% |
10115
120.3 IPS |
|
|
Face Detection (I8)
|
97% |
10573
125.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15786
122.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17595
136.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18037
139.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41064
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
45493
59.8 IPS |
|
|
Style Transfer (I8)
|
100% |
48116
63.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9618
343.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8689
310.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8621
307.9 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3294
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3347
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (I8)
|
99% |
786
14.5 IPS |
