MacBook Pro (13-inch, 2022)
Geekbench ML Score
5284
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 11:10 AM |
| 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 | 3.45 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% |
3479
651.0 IPS |
|
|
Image Classification (F16)
|
100% |
2681
501.7 IPS |
|
|
Image Classification (I8)
|
99% |
2513
470.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1357
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1566
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1352
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
20131
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25213
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
20361
24.7 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2178
162.6 IPS |
|
|
Object Detection (I8)
|
97% |
2463
183.9 IPS |
|
|
Face Detection (F32)
|
100% |
7920
94.2 IPS |
|
|
Face Detection (F16)
|
98% |
10556
125.5 IPS |
|
|
Face Detection (I8)
|
97% |
9191
109.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8460
65.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17413
135.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17451
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41213
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
40516
53.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23006
30.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6691
239.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8850
316.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8866
316.6 IPS |
|
|
Text Classification (F32)
|
100% |
2173
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3344
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3410
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1030
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
860
15.8 IPS |
