System manufacturer System Product Name
Geekbench AI Score
23554
Single Precision Score
34083
Half Precision Score
14476
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vhco |
| Upload Date | January 21 2026 10:56 PM |
| Views | 15 |
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 | High 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% |
9238
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
12776
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
6337
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14480
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19079
309.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10800
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
187190
218.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
354605
413.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
135476
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
11902
944.0 IPS |
|
|
Object Detection (HP)
|
100% |
16046
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8160
656.4 IPS |
|
|
Face Detection (SP)
|
100% |
29546
351.1 IPS |
|
|
Face Detection (HP)
|
100% |
39527
469.7 IPS |
|
|
Face Detection (Q)
|
97% |
19497
232.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
60512
466.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105655
814.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36099
289.1 IPS |
|
|
Style Transfer (SP)
|
100% |
276803
355.8 IPS |
|
|
Style Transfer (HP)
|
100% |
621365
798.8 IPS |
|
|
Style Transfer (Q)
|
98% |
191987
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34854
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48780
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21914
811.4 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1271
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1420
26.6 IPS |
