VirtualMac2,1
Geekbench ML Score
1103
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2025 01:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | VirtualMac2,1 |
| Model ID | VirtualMac2,1 |
| Motherboard | VirtualMac2,1 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro (Virtual) |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 Pro (Virtual) |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 192 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 28.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
566
105.9 IPS |
|
|
Image Classification (F16)
|
100% |
516
96.6 IPS |
|
|
Image Classification (I8)
|
99% |
513
96.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
509
8.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
485
8.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
485
8.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
3101
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3004
3.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
2780
3.37 IPS |
|
|
Object Detection (F32)
|
100% |
665
49.6 IPS |
|
|
Object Detection (F16)
|
100% |
619
46.2 IPS |
|
|
Object Detection (I8)
|
97% |
674
50.3 IPS |
|
|
Face Detection (F32)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1544
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2104
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1929
15.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
1919
14.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7405
9.74 IPS |
|
|
Style Transfer (F16)
|
100% |
7175
9.44 IPS |
|
|
Style Transfer (I8)
|
100% |
7171
9.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1704
60.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1706
60.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1692
60.4 IPS |
|
|
Text Classification (F32)
|
100% |
194
278.5 IPS |
|
|
Text Classification (F16)
|
100% |
328
471.4 IPS |
|
|
Text Classification (I8)
|
96% |
327
469.4 IPS |
|
|
Machine Translation (F32)
|
100% |
497
9.15 IPS |
|
|
Machine Translation (F16)
|
100% |
457
8.41 IPS |
|
|
Machine Translation (I8)
|
99% |
563
10.4 IPS |
