MacBook Pro (13-inch, 2022)
Geekbench ML Score
5678
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 06:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.30 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% |
3299
617.4 IPS |
|
|
Image Classification (F16)
|
100% |
3318
621.0 IPS |
|
|
Image Classification (I8)
|
99% |
3409
638.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1284
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1355
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23066
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24568
29.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
24586
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2879
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
2904
216.8 IPS |
|
|
Object Detection (I8)
|
97% |
2837
211.8 IPS |
|
|
Face Detection (F32)
|
100% |
9137
108.6 IPS |
|
|
Face Detection (F16)
|
98% |
10037
119.3 IPS |
|
|
Face Detection (I8)
|
97% |
10045
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16555
128.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16763
130.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
16780
130.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38694
50.9 IPS |
|
|
Style Transfer (F16)
|
100% |
45273
59.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46912
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7219
257.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8322
297.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6551
233.9 IPS |
|
|
Text Classification (F32)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (I8)
|
99% |
816
15.0 IPS |
