MacBook Pro (13-inch, 2022)
Geekbench ML Score
6126
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 06:18 PM |
| Views | 9 |
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 | 3.48 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% |
3362
629.2 IPS |
|
|
Image Classification (F16)
|
100% |
3557
665.5 IPS |
|
|
Image Classification (I8)
|
99% |
3527
660.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1618
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1618
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1533
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23529
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25404
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25706
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2906
216.9 IPS |
|
|
Object Detection (F16)
|
100% |
2919
217.9 IPS |
|
|
Object Detection (I8)
|
97% |
2871
214.3 IPS |
|
|
Face Detection (F32)
|
100% |
8899
105.8 IPS |
|
|
Face Detection (F16)
|
98% |
10028
119.2 IPS |
|
|
Face Detection (I8)
|
97% |
10190
121.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16130
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
18255
141.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17120
132.8 IPS |
|
|
Style Transfer (F32)
|
100% |
37711
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47441
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47245
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8282
295.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7823
279.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8518
304.2 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3401
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3521
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1158
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1129
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
922
17.0 IPS |
