MacBook Pro (13-inch, 2022)
Geekbench ML Score
5538
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 19 2025 07:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.41 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% |
2322
434.5 IPS |
|
|
Image Classification (F16)
|
100% |
3190
596.9 IPS |
|
|
Image Classification (I8)
|
99% |
3451
645.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1276
21.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1404
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22587
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
20218
24.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25064
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2736
204.3 IPS |
|
|
Object Detection (F16)
|
100% |
2913
217.5 IPS |
|
|
Object Detection (I8)
|
97% |
2058
153.7 IPS |
|
|
Face Detection (F32)
|
100% |
4723
56.2 IPS |
|
|
Face Detection (F16)
|
98% |
7529
89.5 IPS |
|
|
Face Detection (I8)
|
97% |
10800
128.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15890
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17333
134.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
13520
104.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41293
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47460
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47743
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7366
263.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7735
276.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7573
270.5 IPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3616
5.20 KIPS |
|
|
Text Classification (I8)
|
96% |
3797
5.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1047
19.3 IPS |
