MacBook Pro (13-inch, 2022)
Geekbench ML Score
6133
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 09:38 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
3350
626.9 IPS |
|
|
Image Classification (F16)
|
100% |
3380
632.5 IPS |
|
|
Image Classification (I8)
|
99% |
3424
640.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1520
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1503
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1596
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23128
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25176
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25263
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2412
180.1 IPS |
|
|
Object Detection (F16)
|
100% |
2766
206.5 IPS |
|
|
Object Detection (I8)
|
97% |
2713
202.6 IPS |
|
|
Face Detection (F32)
|
100% |
9470
112.6 IPS |
|
|
Face Detection (F16)
|
98% |
10653
126.7 IPS |
|
|
Face Detection (I8)
|
97% |
10512
125.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16500
128.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18139
140.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17589
136.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40705
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47430
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47296
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8643
308.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9962
355.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9980
356.4 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3300
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1122
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1082
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
915
16.8 IPS |
