System manufacturer System Product Name
Geekbench AI Score
31505
Single Precision Score
45437
Half Precision Score
24244
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 04:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12170
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
16822
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
10427
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19680
319.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24427
396.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18102
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
260088
303.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
501058
584.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
229002
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
15041
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
20774
1.65 KIPS |
|
|
Object Detection (Q)
|
89% |
12347
988.5 IPS |
|
|
Face Detection (SP)
|
100% |
41160
489.1 IPS |
|
|
Face Detection (HP)
|
100% |
51119
607.4 IPS |
|
|
Face Detection (Q)
|
97% |
35013
417.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75741
583.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
144478
1.12 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57805
465.7 IPS |
|
|
Style Transfer (SP)
|
100% |
389678
500.9 IPS |
|
|
Style Transfer (HP)
|
100% |
873415
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
344156
443.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52068
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68502
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39987
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2202
49.1 IPS |
