MacBook Pro (13-inch, 2022)
Geekbench ML Score
6002
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2025 06:37 PM |
| Views | 8 |
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 | 3.46 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% |
3045
569.8 IPS |
|
|
Image Classification (F16)
|
100% |
3068
574.0 IPS |
|
|
Image Classification (I8)
|
99% |
3116
583.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1407
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
21861
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24092
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24750
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2683
200.3 IPS |
|
|
Object Detection (F16)
|
100% |
2618
195.4 IPS |
|
|
Object Detection (I8)
|
97% |
2637
196.9 IPS |
|
|
Face Detection (F32)
|
100% |
8720
103.7 IPS |
|
|
Face Detection (F16)
|
98% |
10226
121.6 IPS |
|
|
Face Detection (I8)
|
97% |
10158
120.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15509
120.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17498
135.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17296
134.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39353
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
45746
60.2 IPS |
|
|
Style Transfer (I8)
|
100% |
44692
58.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9941
355.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10372
370.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10277
367.0 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3387
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3382
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1095
20.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1125
20.7 IPS |
