VirtualMac2,1
Geekbench ML Score
1033
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 02:08 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 | 3.43 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% |
550
103.0 IPS |
|
|
Image Classification (F16)
|
100% |
493
92.2 IPS |
|
|
Image Classification (I8)
|
99% |
485
90.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
491
8.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
473
7.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
472
7.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
2712
3.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
2485
3.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
3146
3.81 IPS |
|
|
Object Detection (F32)
|
100% |
648
48.4 IPS |
|
|
Object Detection (F16)
|
100% |
598
44.6 IPS |
|
|
Object Detection (I8)
|
97% |
658
49.1 IPS |
|
|
Face Detection (F32)
|
100% |
1510
18.0 IPS |
|
|
Face Detection (F16)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1539
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2107
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1980
15.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
1787
13.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6704
8.82 IPS |
|
|
Style Transfer (F16)
|
100% |
6640
8.73 IPS |
|
|
Style Transfer (I8)
|
100% |
7199
9.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1733
61.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1483
53.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1387
49.5 IPS |
|
|
Text Classification (F32)
|
100% |
217
311.6 IPS |
|
|
Text Classification (F16)
|
100% |
355
510.1 IPS |
|
|
Text Classification (I8)
|
96% |
365
524.2 IPS |
|
|
Machine Translation (F32)
|
100% |
422
7.76 IPS |
|
|
Machine Translation (F16)
|
100% |
297
5.47 IPS |
|
|
Machine Translation (I8)
|
99% |
327
6.02 IPS |
