MacBook Pro (13-inch, 2022)
Geekbench ML Score
5408
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 06:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.48 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% |
3290
615.7 IPS |
|
|
Image Classification (F16)
|
100% |
3322
621.7 IPS |
|
|
Image Classification (I8)
|
99% |
2444
457.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1434
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1401
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19485
23.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
14833
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24603
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2874
214.6 IPS |
|
|
Object Detection (F16)
|
100% |
2885
215.4 IPS |
|
|
Object Detection (I8)
|
97% |
2813
210.0 IPS |
|
|
Face Detection (F32)
|
100% |
9137
108.6 IPS |
|
|
Face Detection (F16)
|
98% |
10212
121.4 IPS |
|
|
Face Detection (I8)
|
97% |
10243
121.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16574
128.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17207
133.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16913
131.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40003
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46622
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46668
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7411
264.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7601
271.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6221
222.2 IPS |
|
|
Text Classification (F32)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3358
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3304
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
690
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
700
12.9 IPS |
|
|
Machine Translation (I8)
|
99% |
682
12.6 IPS |
