System manufacturer System Product Name
Geekbench AI Score
24979
Single Precision Score
32367
Half Precision Score
19749
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 6000 Ada Generation |
| 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, 36 Threads |
| 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% |
9628
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
10871
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8156
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11148
180.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12392
200.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10607
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
226901
264.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
465749
543.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
215484
252.3 IPS |
|
|
Object Detection (SP)
|
100% |
12401
983.7 IPS |
|
|
Object Detection (HP)
|
100% |
14768
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
10644
851.7 IPS |
|
|
Face Detection (SP)
|
100% |
27967
332.3 IPS |
|
|
Face Detection (HP)
|
100% |
30460
361.9 IPS |
|
|
Face Detection (Q)
|
97% |
24723
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75284
580.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
118563
913.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
54305
437.7 IPS |
|
|
Style Transfer (SP)
|
100% |
426632
548.4 IPS |
|
|
Style Transfer (HP)
|
100% |
771327
991.6 IPS |
|
|
Style Transfer (Q)
|
98% |
375053
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45077
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57725
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35462
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3045
4.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1817
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1402
31.3 IPS |
