VirtualMac2,1
Geekbench ML Score
1043
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 01:41 PM |
| Views | 5 |
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 | 3.36 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% |
546
102.2 IPS |
|
|
Image Classification (F16)
|
100% |
498
93.2 IPS |
|
|
Image Classification (I8)
|
99% |
492
92.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
488
8.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
8.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
483
8.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
2849
3.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
2612
3.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
2952
3.57 IPS |
|
|
Object Detection (F32)
|
100% |
627
46.8 IPS |
|
|
Object Detection (F16)
|
100% |
585
43.7 IPS |
|
|
Object Detection (I8)
|
97% |
618
46.2 IPS |
|
|
Face Detection (F32)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (I8)
|
99% |
1334
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1787
13.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1674
13.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
1706
13.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7178
9.44 IPS |
|
|
Style Transfer (F16)
|
100% |
6931
9.12 IPS |
|
|
Style Transfer (I8)
|
100% |
6647
8.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1615
57.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1486
53.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1618
57.8 IPS |
|
|
Text Classification (F32)
|
100% |
173
249.1 IPS |
|
|
Text Classification (F16)
|
100% |
398
572.1 IPS |
|
|
Text Classification (I8)
|
96% |
350
502.6 IPS |
|
|
Machine Translation (F32)
|
100% |
541
9.95 IPS |
|
|
Machine Translation (F16)
|
100% |
434
7.98 IPS |
|
|
Machine Translation (I8)
|
99% |
538
9.90 IPS |
