Tesla P100 QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
8634
Single Precision Score
7069
Half Precision Score
6003
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 24 2025 12:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GRID P100-16Q |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.22 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3111
578.5 IPS |
|
|
Image Classification (HP)
|
100% |
2861
532.0 IPS |
|
|
Image Classification (Q)
|
99% |
2451
457.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4746
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4656
75.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3678
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68977
80.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35045
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
52603
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
4143
328.6 IPS |
|
|
Object Detection (HP)
|
100% |
3804
301.8 IPS |
|
|
Object Detection (Q)
|
84% |
3175
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
8447
100.4 IPS |
|
|
Face Detection (Q)
|
97% |
6598
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21701
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16414
126.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15126
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
110987
142.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55277
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
83119
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17607
650.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11621
429.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10178
376.9 IPS |
|
|
Text Classification (SP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
562
752.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
70% |
852
16.0 IPS |
