MacBook Pro (13-inch, 2022)
Geekbench ML Score
5674
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 07:35 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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% |
3259
609.9 IPS |
|
|
Image Classification (F16)
|
100% |
3202
599.2 IPS |
|
|
Image Classification (I8)
|
99% |
2981
557.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1295
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1238
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22602
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25149
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24731
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2910
217.3 IPS |
|
|
Object Detection (I8)
|
97% |
2809
209.7 IPS |
|
|
Face Detection (F32)
|
100% |
8040
95.6 IPS |
|
|
Face Detection (F16)
|
98% |
10055
119.6 IPS |
|
|
Face Detection (I8)
|
97% |
9954
118.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16024
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
15919
123.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17193
133.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40210
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47594
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47349
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6434
229.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7475
267.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7357
262.7 IPS |
|
|
Text Classification (F32)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3397
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
859
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
904
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
896
16.5 IPS |
