System manufacturer System Product Name
Geekbench AI Score
23906
Single Precision Score
34412
Half Precision Score
14326
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | vhco |
| Upload Date | September 30 2025 01:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG RAMPAGE VI EXTREME |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9207
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
12802
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
6060
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14554
235.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18404
298.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10833
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
185888
216.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
355603
414.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
132779
155.6 IPS |
|
|
Object Detection (SP)
|
100% |
11948
947.7 IPS |
|
|
Object Detection (HP)
|
100% |
15220
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
7726
621.5 IPS |
|
|
Face Detection (SP)
|
100% |
29432
349.7 IPS |
|
|
Face Detection (HP)
|
100% |
40024
475.6 IPS |
|
|
Face Detection (Q)
|
97% |
20669
246.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63741
491.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107697
829.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36106
289.1 IPS |
|
|
Style Transfer (SP)
|
100% |
275915
354.7 IPS |
|
|
Style Transfer (HP)
|
100% |
617204
793.4 IPS |
|
|
Style Transfer (Q)
|
98% |
194028
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38837
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52155
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20514
759.6 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1295
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1406
26.4 IPS |
