MacBook Pro (13-inch, 2022)
Geekbench ML Score
5563
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 08:02 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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% |
3239
606.2 IPS |
|
|
Image Classification (F16)
|
100% |
3244
607.0 IPS |
|
|
Image Classification (I8)
|
99% |
3216
601.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1193
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23118
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25010
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24810
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
2792
208.5 IPS |
|
|
Object Detection (I8)
|
97% |
2825
210.9 IPS |
|
|
Face Detection (F32)
|
100% |
8769
104.3 IPS |
|
|
Face Detection (F16)
|
98% |
10212
121.4 IPS |
|
|
Face Detection (I8)
|
97% |
10007
119.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15751
122.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17287
134.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17184
133.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40351
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47315
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47001
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7997
285.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8234
294.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6035
215.5 IPS |
|
|
Text Classification (F32)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3348
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3427
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
687
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (I8)
|
99% |
661
12.2 IPS |
