VirtualMac2,1
Geekbench ML Score
2082
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 01:38 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 | 3.47 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
1204
225.3 IPS |
|
|
Image Classification (I8)
|
99% |
1176
220.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
764
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5279
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
6738
8.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
7100
8.60 IPS |
|
|
Object Detection (F32)
|
100% |
951
71.0 IPS |
|
|
Object Detection (F16)
|
100% |
1387
103.5 IPS |
|
|
Object Detection (I8)
|
97% |
990
73.9 IPS |
|
|
Face Detection (F32)
|
100% |
1990
23.7 IPS |
|
|
Face Detection (F16)
|
97% |
3135
37.3 IPS |
|
|
Face Detection (I8)
|
96% |
3181
37.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2861
22.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5002
38.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
4820
37.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10852
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
18346
24.1 IPS |
|
|
Style Transfer (I8)
|
100% |
20369
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2310
82.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3037
108.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3239
115.7 IPS |
|
|
Text Classification (F32)
|
100% |
442
634.7 IPS |
|
|
Text Classification (F16)
|
100% |
888
1.28 KIPS |
|
|
Text Classification (I8)
|
96% |
879
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
678
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
981
18.0 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
