System manufacturer System Product Name
Geekbench AI Score
25700
Single Precision Score
32796
Half Precision Score
19848
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Technoguide |
| Upload Date | September 07 2024 04:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9580
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
11479
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8375
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11037
178.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12234
198.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10565
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
259368
302.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
406666
474.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
228927
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
12564
996.6 IPS |
|
|
Object Detection (HP)
|
100% |
15088
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
10253
820.7 IPS |
|
|
Face Detection (SP)
|
100% |
26489
314.7 IPS |
|
|
Face Detection (HP)
|
100% |
31345
372.5 IPS |
|
|
Face Detection (Q)
|
97% |
25065
298.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
74731
575.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
119256
918.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
54371
438.6 IPS |
|
|
Style Transfer (SP)
|
100% |
450181
578.7 IPS |
|
|
Style Transfer (HP)
|
100% |
778553
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
404733
521.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47760
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58396
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34496
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1691
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1420
31.7 IPS |
