MacBook Pro (13-inch, 2022)
Geekbench ML Score
5930
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 21 2025 08:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
3451
645.8 IPS |
|
|
Image Classification (F16)
|
100% |
3449
645.4 IPS |
|
|
Image Classification (I8)
|
99% |
3408
637.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1381
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1431
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23539
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25142
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25039
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2889
215.7 IPS |
|
|
Object Detection (F16)
|
100% |
2980
222.5 IPS |
|
|
Object Detection (I8)
|
97% |
2861
213.6 IPS |
|
|
Face Detection (F32)
|
100% |
9112
108.3 IPS |
|
|
Face Detection (F16)
|
98% |
10443
124.2 IPS |
|
|
Face Detection (I8)
|
97% |
10241
121.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16324
126.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17599
136.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
17474
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40937
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47189
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47107
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7166
255.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8563
305.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7476
267.0 IPS |
|
|
Text Classification (F32)
|
100% |
2135
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3453
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3476
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
894
16.5 IPS |
