MacBook Pro (13-inch, 2022)
Geekbench ML Score
5230
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 04 2025 06:10 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.25 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% |
2205
412.6 IPS |
|
|
Image Classification (F16)
|
100% |
3576
669.2 IPS |
|
|
Image Classification (I8)
|
99% |
3571
668.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1279
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1318
22.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1088
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23282
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25467
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
22553
27.3 IPS |
|
|
Object Detection (F32)
|
100% |
2878
214.8 IPS |
|
|
Object Detection (F16)
|
100% |
2948
220.1 IPS |
|
|
Object Detection (I8)
|
97% |
2083
155.5 IPS |
|
|
Face Detection (F32)
|
100% |
4286
51.0 IPS |
|
|
Face Detection (F16)
|
98% |
8719
103.7 IPS |
|
|
Face Detection (I8)
|
97% |
6174
73.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12171
94.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17957
139.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17545
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39918
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47106
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46835
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7045
251.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6850
244.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7743
276.5 IPS |
|
|
Text Classification (F32)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
2588
3.72 KIPS |
|
|
Text Classification (I8)
|
96% |
2822
4.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1070
19.7 IPS |
