System manufacturer System Product Name
Geekbench AI Score
26052
Single Precision Score
36874
Half Precision Score
20340
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8622
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
11374
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7682
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16666
270.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18156
294.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14546
236.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
252470
294.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
511224
596.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
214443
251.2 IPS |
|
|
Object Detection (SP)
|
100% |
13630
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
14653
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
12369
998.1 IPS |
|
|
Face Detection (SP)
|
100% |
33357
396.4 IPS |
|
|
Face Detection (HP)
|
100% |
41990
498.9 IPS |
|
|
Face Detection (Q)
|
97% |
30439
363.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63642
490.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120345
927.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
53707
430.2 IPS |
|
|
Style Transfer (SP)
|
100% |
343697
441.8 IPS |
|
|
Style Transfer (HP)
|
100% |
868928
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
318432
410.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45021
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60580
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30375
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1356
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1908
35.8 IPS |
