MacBook Pro (13-inch, 2022)
Geekbench ML Score
6047
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 15 2025 05:51 PM |
| Views | 6 |
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 | 3.42 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% |
3466
648.6 IPS |
|
|
Image Classification (F16)
|
100% |
3534
661.3 IPS |
|
|
Image Classification (I8)
|
99% |
3554
665.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1478
24.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1479
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23194
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24955
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24867
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2879
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
2914
217.5 IPS |
|
|
Object Detection (I8)
|
97% |
2890
215.7 IPS |
|
|
Face Detection (F32)
|
100% |
9042
107.5 IPS |
|
|
Face Detection (F16)
|
98% |
10142
120.6 IPS |
|
|
Face Detection (I8)
|
97% |
10164
120.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16272
126.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17610
136.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17561
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40301
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47394
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47191
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10029
358.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8916
318.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10263
366.5 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3520
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3394
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
833
15.3 IPS |
