QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
26002
Single Precision Score
33874
Half Precision Score
21008
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC Processor (with IBPB) |
| Topology | 1 Processor, 48 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 48 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7255
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
9138
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6633
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22357
362.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26896
436.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19456
316.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
266436
310.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
425219
496.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
232889
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
11983
950.5 IPS |
|
|
Object Detection (HP)
|
100% |
13927
1.10 KIPS |
|
|
Object Detection (Q)
|
86% |
10834
870.3 IPS |
|
|
Face Detection (SP)
|
100% |
41838
497.1 IPS |
|
|
Face Detection (HP)
|
100% |
51867
616.3 IPS |
|
|
Face Detection (Q)
|
97% |
37316
444.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
72591
559.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111402
858.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55293
442.2 IPS |
|
|
Style Transfer (SP)
|
100% |
442923
569.4 IPS |
|
|
Style Transfer (HP)
|
100% |
788036
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
382051
492.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32915
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41543
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26840
993.9 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
1723
2.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2146
40.2 IPS |
