Generic
Geekbench AI Score
23189
Single Precision Score
34180
Half Precision Score
18219
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 01 2025 08:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Steel Legend |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8862
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
13826
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
8308
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14451
234.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17431
282.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13270
215.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
145115
169.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
319708
373.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
128838
151.0 IPS |
|
|
Object Detection (SP)
|
100% |
11282
894.9 IPS |
|
|
Object Detection (HP)
|
100% |
17294
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
9931
799.5 IPS |
|
|
Face Detection (SP)
|
100% |
28740
341.5 IPS |
|
|
Face Detection (HP)
|
100% |
39331
467.3 IPS |
|
|
Face Detection (Q)
|
97% |
24394
290.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57162
440.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101872
784.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
45526
363.5 IPS |
|
|
Style Transfer (SP)
|
100% |
253942
326.4 IPS |
|
|
Style Transfer (HP)
|
100% |
548682
705.3 IPS |
|
|
Style Transfer (Q)
|
98% |
225333
290.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42945
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52428
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30128
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1970
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1924
36.1 IPS |
