MacBook Pro (13-inch, 2022)
Geekbench ML Score
6004
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 07 2025 06:56 PM |
| Views | 6 |
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% |
3316
620.6 IPS |
|
|
Image Classification (F16)
|
100% |
3400
636.1 IPS |
|
|
Image Classification (I8)
|
99% |
3388
633.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1296
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1326
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22182
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25145
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
23913
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2705
202.0 IPS |
|
|
Object Detection (F16)
|
100% |
2843
212.2 IPS |
|
|
Object Detection (I8)
|
97% |
2675
199.7 IPS |
|
|
Face Detection (F32)
|
100% |
9229
109.7 IPS |
|
|
Face Detection (F16)
|
98% |
10664
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10057
119.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15730
122.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17258
133.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17508
135.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40547
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47644
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47332
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8927
318.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7852
280.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9073
324.0 IPS |
|
|
Text Classification (F32)
|
100% |
2070
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3489
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1094
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1108
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1082
19.9 IPS |
