VirtualMac2,1
Geekbench ML Score
1104
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 01:49 PM |
| Views | 3 |
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% |
542
101.5 IPS |
|
|
Image Classification (F16)
|
100% |
495
92.7 IPS |
|
|
Image Classification (I8)
|
99% |
491
91.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
8.06 IPS |
|
|
Image Segmentation (I8)
|
100% |
486
8.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
3368
4.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
3391
4.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
3260
3.95 IPS |
|
|
Object Detection (F32)
|
100% |
658
49.1 IPS |
|
|
Object Detection (F16)
|
100% |
608
45.4 IPS |
|
|
Object Detection (I8)
|
97% |
658
49.2 IPS |
|
|
Face Detection (F32)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (I8)
|
99% |
1540
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2078
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1937
15.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
1906
14.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7425
9.77 IPS |
|
|
Style Transfer (F16)
|
100% |
7161
9.42 IPS |
|
|
Style Transfer (I8)
|
100% |
7238
9.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1724
61.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1729
61.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1704
60.9 IPS |
|
|
Text Classification (F32)
|
100% |
198
284.4 IPS |
|
|
Text Classification (F16)
|
100% |
331
475.9 IPS |
|
|
Text Classification (I8)
|
96% |
335
481.1 IPS |
|
|
Machine Translation (F32)
|
100% |
557
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (I8)
|
99% |
601
11.1 IPS |
