System manufacturer System Product Name
Geekbench AI Score
24769
Single Precision Score
34812
Half Precision Score
14920
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| User | vhco |
| Upload Date | January 22 2026 02:19 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
9436
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
13007
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
6448
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14907
241.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19019
308.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11147
181.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
197059
229.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
357303
416.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
137763
161.4 IPS |
|
|
Object Detection (SP)
|
100% |
12270
973.3 IPS |
|
|
Object Detection (HP)
|
100% |
13683
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7562
608.3 IPS |
|
|
Face Detection (SP)
|
100% |
31662
376.2 IPS |
|
|
Face Detection (HP)
|
100% |
40954
486.6 IPS |
|
|
Face Detection (Q)
|
97% |
20277
241.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66496
512.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110941
854.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39427
315.7 IPS |
|
|
Style Transfer (SP)
|
100% |
293751
377.6 IPS |
|
|
Style Transfer (HP)
|
100% |
643179
826.8 IPS |
|
|
Style Transfer (Q)
|
98% |
205933
265.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40221
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56370
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20583
762.2 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1467
27.5 IPS |
