GAI-100 - m1max - PRL19.4.1-W11-6C8GB Parallels International GmbH. Parallels ARM Virtual Machine
Geekbench AI Score
941
Single Precision Score
1113
Half Precision Score
2691
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | krofa |
| Upload Date | August 16 2024 10:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Apple Silicon |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Parallels International GmbH. Parallels ARM Virtual Machine |
| Motherboard | Parallels ARM Virtual Machine Parallels ARM Virtual Platform |
| Power Plan | Parallels |
| CPU Information | |
|---|---|
| Name | Apple Silicon |
| Topology | 6 Processors, 6 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 0 Revision 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
441
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
1965
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
524
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4150
4.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
10198
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
99% |
484
38.5 IPS |
|
|
Object Detection (Q)
|
88% |
2570
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
97% |
3366
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
1550
12.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
7094
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5644
7.26 IPS |
|
|
Style Transfer (HP)
|
100% |
5536
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
18534
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2999
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
333
444.2 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1146
19.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1472
32.8 IPS |
