MacBook Pro (13-inch, 2022)
Geekbench ML Score
6440
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 05 2026 07:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 3.38 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% |
3329
622.9 IPS |
|
|
Image Classification (F16)
|
100% |
3424
640.7 IPS |
|
|
Image Classification (I8)
|
99% |
3163
591.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1374
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1362
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23180
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25651
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25492
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2767
206.6 IPS |
|
|
Object Detection (F16)
|
100% |
2965
221.3 IPS |
|
|
Object Detection (I8)
|
97% |
2776
207.2 IPS |
|
|
Face Detection (F32)
|
100% |
9195
109.3 IPS |
|
|
Face Detection (F16)
|
98% |
10789
128.3 IPS |
|
|
Face Detection (I8)
|
97% |
10262
122.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16211
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16501
128.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17518
135.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39989
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47633
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47644
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9417
336.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9300
332.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10066
359.5 IPS |
|
|
Text Classification (F32)
|
100% |
3653
5.25 KIPS |
|
|
Text Classification (F16)
|
100% |
5472
7.86 KIPS |
|
|
Text Classification (I8)
|
96% |
5719
8.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1144
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1076
19.8 IPS |
