Generic
Geekbench AI Score
21677
Single Precision Score
31816
Half Precision Score
17715
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | HansGruber |
| Upload Date | August 15 2024 06:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Extreme4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8394
1.56 KIPS |
|
|
Image Classification (HP)
|
99% |
12801
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
7513
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11230
182.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12068
195.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11518
187.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
166280
194.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
382627
446.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
148569
174.0 IPS |
|
|
Object Detection (SP)
|
100% |
9876
783.4 IPS |
|
|
Object Detection (HP)
|
100% |
15803
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
9852
788.6 IPS |
|
|
Face Detection (SP)
|
100% |
20224
240.3 IPS |
|
|
Face Detection (HP)
|
100% |
34469
409.6 IPS |
|
|
Face Detection (Q)
|
97% |
23339
278.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60918
469.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101411
781.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
45669
382.3 IPS |
|
|
Style Transfer (SP)
|
100% |
285806
367.4 IPS |
|
|
Style Transfer (HP)
|
100% |
622434
800.1 IPS |
|
|
Style Transfer (Q)
|
98% |
254587
328.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41853
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53278
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28650
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1640
36.6 IPS |
