MacBook Pro (13-inch, 2022)
Geekbench ML Score
6169
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 05 2025 06:56 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 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% |
3465
648.5 IPS |
|
|
Image Classification (F16)
|
100% |
3460
647.5 IPS |
|
|
Image Classification (I8)
|
99% |
3486
652.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1312
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1499
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22889
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25607
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25356
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2836
211.7 IPS |
|
|
Object Detection (F16)
|
100% |
2951
220.3 IPS |
|
|
Object Detection (I8)
|
97% |
2886
215.5 IPS |
|
|
Face Detection (F32)
|
100% |
8461
100.6 IPS |
|
|
Face Detection (F16)
|
98% |
10299
122.5 IPS |
|
|
Face Detection (I8)
|
97% |
10288
122.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16699
129.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18294
141.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17361
134.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41155
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47574
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47223
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9063
323.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9561
341.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9582
342.2 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3584
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3599
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
