System manufacturer System Product Name
Geekbench AI Score
20744
Single Precision Score
28933
Half Precision Score
12315
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vhco |
| Upload Date | September 01 2024 09:10 PM |
| Views | 12 |
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 | Balanced |
| 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% |
7904
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
10712
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
4881
907.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11601
188.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14254
231.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8924
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
173803
202.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
293133
342.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
122762
143.8 IPS |
|
|
Object Detection (SP)
|
100% |
10301
817.1 IPS |
|
|
Object Detection (HP)
|
100% |
13625
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
7285
583.2 IPS |
|
|
Face Detection (SP)
|
100% |
23963
284.7 IPS |
|
|
Face Detection (HP)
|
100% |
31346
372.5 IPS |
|
|
Face Detection (Q)
|
97% |
16431
195.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54869
422.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82715
637.3 IPS |
|
|
Depth Estimation (Q)
|
69% |
28829
244.2 IPS |
|
|
Style Transfer (SP)
|
100% |
239560
308.0 IPS |
|
|
Style Transfer (HP)
|
100% |
565979
727.6 IPS |
|
|
Style Transfer (Q)
|
98% |
188768
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34314
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45825
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18922
700.7 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3385
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1287
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (Q)
|
60% |
946
21.1 IPS |
