MacBook Pro (13-inch, 2022)
Geekbench ML Score
5965
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 24 2025 07:10 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.44 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% |
2727
510.2 IPS |
|
|
Image Classification (F16)
|
100% |
2709
506.9 IPS |
|
|
Image Classification (I8)
|
99% |
2937
549.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1515
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1597
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22993
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25168
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25457
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2871
214.3 IPS |
|
|
Object Detection (F16)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (I8)
|
97% |
2811
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
9026
107.3 IPS |
|
|
Face Detection (F16)
|
98% |
10454
124.3 IPS |
|
|
Face Detection (I8)
|
97% |
10612
126.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16244
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18008
139.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17892
138.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40707
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46611
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
45634
60.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9408
336.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8485
303.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9462
337.9 IPS |
|
|
Text Classification (F32)
|
100% |
2132
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3352
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3132
4.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
812
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1096
20.2 IPS |
