Generic
Geekbench AI Score
29561
Single Precision Score
39535
Half Precision Score
23668
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 20 2025 06:14 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10978
2.04 KIPS |
|
|
Image Classification (HP)
|
99% |
14068
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
9749
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16679
270.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19604
317.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15513
252.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
266906
311.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
450324
525.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
233133
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
14142
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
17915
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
12403
997.7 IPS |
|
|
Face Detection (SP)
|
100% |
37430
444.7 IPS |
|
|
Face Detection (HP)
|
100% |
45144
536.4 IPS |
|
|
Face Detection (Q)
|
97% |
33054
394.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
80802
622.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
130033
1.00 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62871
502.1 IPS |
|
|
Style Transfer (SP)
|
100% |
383734
493.3 IPS |
|
|
Style Transfer (HP)
|
100% |
763604
981.6 IPS |
|
|
Style Transfer (Q)
|
98% |
338967
437.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48624
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62168
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38209
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3595
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2018
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4186
72.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2323
43.6 IPS |
