MacBook Pro (13-inch, 2022)
Geekbench ML Score
5931
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 08:14 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.32 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% |
2901
542.8 IPS |
|
|
Image Classification (F16)
|
100% |
3555
665.2 IPS |
|
|
Image Classification (I8)
|
99% |
3086
577.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1264
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22819
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24998
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24521
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (F16)
|
100% |
2763
206.3 IPS |
|
|
Object Detection (I8)
|
97% |
2702
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
8808
104.7 IPS |
|
|
Face Detection (F16)
|
98% |
10325
122.8 IPS |
|
|
Face Detection (I8)
|
97% |
10181
121.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15394
119.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17669
137.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
18027
139.8 IPS |
|
|
Style Transfer (F32)
|
100% |
39746
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
46847
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46942
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8752
312.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7741
276.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9549
341.0 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3667
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3587
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1080
19.9 IPS |
