MacBook Pro (13-inch, 2022)
Geekbench ML Score
5551
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 12 2024 04:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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% |
3351
627.2 IPS |
|
|
Image Classification (F16)
|
100% |
1856
347.2 IPS |
|
|
Image Classification (I8)
|
99% |
3356
628.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1310
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21042
25.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24881
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24611
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2483
185.3 IPS |
|
|
Object Detection (F16)
|
100% |
2930
218.7 IPS |
|
|
Object Detection (I8)
|
97% |
2885
215.4 IPS |
|
|
Face Detection (F32)
|
100% |
8235
97.9 IPS |
|
|
Face Detection (F16)
|
98% |
10238
121.7 IPS |
|
|
Face Detection (I8)
|
97% |
10254
121.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16249
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12613
97.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17049
132.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41053
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47111
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47219
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7136
254.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8572
306.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6740
240.7 IPS |
|
|
Text Classification (F32)
|
100% |
2053
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3622
5.20 KIPS |
|
|
Text Classification (I8)
|
96% |
3490
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
836
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
808
14.9 IPS |
|
|
Machine Translation (I8)
|
99% |
831
15.3 IPS |
