MacBook Pro (13-inch, 2022)
Geekbench ML Score
5672
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 14 2025 07:26 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.28 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% |
3389
634.2 IPS |
|
|
Image Classification (F16)
|
100% |
3409
637.8 IPS |
|
|
Image Classification (I8)
|
99% |
3420
639.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1225
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1284
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23139
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24708
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24587
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2870
214.3 IPS |
|
|
Object Detection (F16)
|
100% |
2919
217.9 IPS |
|
|
Object Detection (I8)
|
97% |
2829
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
8879
105.6 IPS |
|
|
Face Detection (F16)
|
98% |
10258
122.0 IPS |
|
|
Face Detection (I8)
|
97% |
10180
121.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15884
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16943
131.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17781
137.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40982
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47173
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47456
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7600
271.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6823
243.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7689
274.6 IPS |
|
|
Text Classification (F32)
|
100% |
2000
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3031
4.36 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (I8)
|
99% |
758
13.9 IPS |
