MacBook Pro (13-inch, 2022)
Geekbench ML Score
5752
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 12 2025 05:58 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
2120
396.7 IPS |
|
|
Image Classification (F16)
|
100% |
3485
652.1 IPS |
|
|
Image Classification (I8)
|
99% |
3490
653.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1045
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1609
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1631
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22216
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25521
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25227
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2853
213.0 IPS |
|
|
Object Detection (F16)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (I8)
|
97% |
1686
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
7410
88.1 IPS |
|
|
Face Detection (F16)
|
98% |
10803
128.5 IPS |
|
|
Face Detection (I8)
|
97% |
10920
129.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16612
128.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18610
144.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
18576
144.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39746
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47651
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47432
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6834
244.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9896
353.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8752
312.6 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3601
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
2930
4.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
991
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1160
21.3 IPS |
