MacBook Pro (13-inch, 2022)
Geekbench ML Score
5344
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 04 2025 04:26 PM |
| Views | 3 |
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 | 3.46 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% |
3365
629.8 IPS |
|
|
Image Classification (F16)
|
100% |
3165
592.2 IPS |
|
|
Image Classification (I8)
|
99% |
2161
404.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1499
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1272
21.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1352
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22956
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25085
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24770
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2610
194.9 IPS |
|
|
Object Detection (F16)
|
100% |
2566
191.6 IPS |
|
|
Object Detection (I8)
|
97% |
2021
150.9 IPS |
|
|
Face Detection (F32)
|
100% |
8760
104.2 IPS |
|
|
Face Detection (F16)
|
98% |
10219
121.5 IPS |
|
|
Face Detection (I8)
|
97% |
7409
88.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15210
118.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15109
117.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
12190
94.5 IPS |
|
|
Style Transfer (F32)
|
100% |
38770
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47510
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47654
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6127
218.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7339
262.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5586
199.5 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
820
15.1 IPS |
