MacBook Pro (13-inch, 2022)
Geekbench ML Score
5719
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 07:18 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.47 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% |
2150
402.4 IPS |
|
|
Image Classification (F16)
|
100% |
3160
591.3 IPS |
|
|
Image Classification (I8)
|
99% |
3494
653.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1456
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1487
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23181
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25882
31.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25701
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2773
207.0 IPS |
|
|
Object Detection (F16)
|
100% |
2820
210.5 IPS |
|
|
Object Detection (I8)
|
97% |
1878
140.2 IPS |
|
|
Face Detection (F32)
|
100% |
9361
111.3 IPS |
|
|
Face Detection (F16)
|
98% |
10693
127.1 IPS |
|
|
Face Detection (I8)
|
97% |
10303
122.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16554
128.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17478
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17311
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40960
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46771
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47650
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7217
257.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6785
242.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7751
276.8 IPS |
|
|
Text Classification (F32)
|
100% |
2056
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3306
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3381
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
964
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
