MacBook Pro (13-inch, 2022)
Geekbench ML Score
5989
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 06 2025 05:55 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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% |
3342
625.4 IPS |
|
|
Image Classification (F16)
|
100% |
3450
645.6 IPS |
|
|
Image Classification (I8)
|
99% |
3467
648.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1468
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1263
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23119
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25130
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24904
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
2620
195.6 IPS |
|
|
Object Detection (F16)
|
100% |
2749
205.2 IPS |
|
|
Object Detection (I8)
|
97% |
2734
204.1 IPS |
|
|
Face Detection (F32)
|
100% |
9297
110.5 IPS |
|
|
Face Detection (F16)
|
98% |
10467
124.4 IPS |
|
|
Face Detection (I8)
|
97% |
9569
113.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16395
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16938
131.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17789
138.0 IPS |
|
|
Style Transfer (F32)
|
100% |
39296
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44739
58.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46972
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8182
292.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8916
318.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10105
360.9 IPS |
|
|
Text Classification (F32)
|
100% |
2135
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3402
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3451
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1014
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
