MacBook Pro (13-inch, 2022)
Geekbench ML Score
5940
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 04 2025 07:19 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3419
639.9 IPS |
|
|
Image Classification (F16)
|
100% |
3382
632.8 IPS |
|
|
Image Classification (I8)
|
99% |
3351
627.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1371
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1309
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1355
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23299
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24843
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24717
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2586
193.1 IPS |
|
|
Object Detection (F16)
|
100% |
2718
202.9 IPS |
|
|
Object Detection (I8)
|
97% |
2880
215.0 IPS |
|
|
Face Detection (F32)
|
100% |
8905
105.9 IPS |
|
|
Face Detection (F16)
|
98% |
10029
119.2 IPS |
|
|
Face Detection (I8)
|
97% |
9709
115.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15795
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17067
132.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16972
131.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40874
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47271
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46766
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9660
345.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9990
356.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10622
379.4 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3435
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
869
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
872
16.0 IPS |
