VirtualMac2,1
Geekbench ML Score
1143
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 12:19 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
96.5 IPS |
|
|
Image Classification (I8)
|
99% |
509
95.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
514
8.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
490
8.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
493
8.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
2958
3.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
4529
5.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
3022
3.66 IPS |
|
|
Object Detection (F32)
|
100% |
679
50.7 IPS |
|
|
Object Detection (F16)
|
100% |
603
45.0 IPS |
|
|
Object Detection (I8)
|
97% |
657
49.1 IPS |
|
|
Face Detection (F32)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1562
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2125
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1971
15.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
1958
15.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7584
9.98 IPS |
|
|
Style Transfer (F16)
|
100% |
7347
9.66 IPS |
|
|
Style Transfer (I8)
|
100% |
7363
9.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1741
62.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1734
61.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1737
62.0 IPS |
|
|
Text Classification (F32)
|
100% |
201
288.5 IPS |
|
|
Text Classification (F16)
|
100% |
360
517.4 IPS |
|
|
Text Classification (I8)
|
96% |
364
523.3 IPS |
|
|
Machine Translation (F32)
|
100% |
591
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
465
8.56 IPS |
|
|
Machine Translation (I8)
|
99% |
583
10.7 IPS |
