MacBook Pro (13-inch, 2022)
Geekbench ML Score
6185
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 04 2026 05:00 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.18 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% |
3297
617.0 IPS |
|
|
Image Classification (F16)
|
100% |
3496
654.1 IPS |
|
|
Image Classification (I8)
|
99% |
3535
661.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1455
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1555
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23253
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25111
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25183
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2707
202.1 IPS |
|
|
Object Detection (F16)
|
100% |
2910
217.2 IPS |
|
|
Object Detection (I8)
|
97% |
2913
217.5 IPS |
|
|
Face Detection (F32)
|
100% |
9514
113.1 IPS |
|
|
Face Detection (F16)
|
98% |
11322
134.6 IPS |
|
|
Face Detection (I8)
|
97% |
10989
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16194
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17269
133.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17357
134.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40548
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
46801
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47554
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8998
321.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10078
359.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8780
313.6 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3296
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3378
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1084
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1083
19.9 IPS |
