MacBook Pro (13-inch, 2022)
Geekbench ML Score
6280
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 05:54 PM |
| Views | 6 |
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 | 3.47 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% |
3461
647.6 IPS |
|
|
Image Classification (F16)
|
100% |
3544
663.2 IPS |
|
|
Image Classification (I8)
|
99% |
3544
663.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1624
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1521
25.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1613
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23643
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25914
31.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25656
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (F16)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2826
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
9345
111.1 IPS |
|
|
Face Detection (F16)
|
98% |
10604
126.1 IPS |
|
|
Face Detection (I8)
|
97% |
10904
129.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15797
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17864
138.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17956
139.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41688
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
44372
58.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47322
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7407
264.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10691
381.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8659
309.2 IPS |
|
|
Text Classification (F32)
|
100% |
2145
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3604
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3471
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1145
21.1 IPS |
