MacBook Pro (13-inch, 2022)
Geekbench ML Score
5706
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2025 05:42 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.31 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% |
3469
649.1 IPS |
|
|
Image Classification (F16)
|
100% |
3494
653.9 IPS |
|
|
Image Classification (I8)
|
99% |
3426
641.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1646
27.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1074
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
15523
18.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25160
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25184
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2801
209.1 IPS |
|
|
Object Detection (F16)
|
100% |
2390
178.4 IPS |
|
|
Object Detection (I8)
|
97% |
1680
125.5 IPS |
|
|
Face Detection (F32)
|
100% |
9471
112.6 IPS |
|
|
Face Detection (F16)
|
98% |
10789
128.3 IPS |
|
|
Face Detection (I8)
|
97% |
10857
129.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10908
84.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8606
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17596
136.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41143
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47567
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
44283
58.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9670
345.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8675
309.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8747
312.4 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3382
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3530
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1084
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1090
20.1 IPS |
