Generic
Geekbench AI Score
23163
Single Precision Score
30238
Half Precision Score
18873
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9383
1.74 KIPS |
|
|
Image Classification (HP)
|
99% |
11727
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8256
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10461
169.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11639
188.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9944
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
230042
268.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
402200
469.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
205176
240.3 IPS |
|
|
Object Detection (SP)
|
100% |
10225
811.0 IPS |
|
|
Object Detection (HP)
|
100% |
12756
1.01 KIPS |
|
|
Object Detection (Q)
|
89% |
9545
764.2 IPS |
|
|
Face Detection (SP)
|
100% |
24801
294.7 IPS |
|
|
Face Detection (HP)
|
100% |
27069
321.6 IPS |
|
|
Face Detection (Q)
|
97% |
22041
262.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67764
522.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
116078
896.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
52784
425.2 IPS |
|
|
Style Transfer (SP)
|
100% |
340135
437.2 IPS |
|
|
Style Transfer (HP)
|
100% |
637147
819.1 IPS |
|
|
Style Transfer (Q)
|
98% |
300321
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42614
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52321
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34463
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3335
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1489
33.2 IPS |
