Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
30437
Single Precision Score
43853
Half Precision Score
23461
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Mochcin |
| Upload Date | September 05 2024 05:38 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12107
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16837
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9532
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17423
282.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21115
342.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16360
266.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
249179
290.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
449849
524.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
222130
260.1 IPS |
|
|
Object Detection (SP)
|
100% |
14357
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20170
1.60 KIPS |
|
|
Object Detection (Q)
|
89% |
12442
996.0 IPS |
|
|
Face Detection (SP)
|
100% |
37939
450.8 IPS |
|
|
Face Detection (HP)
|
100% |
46266
549.7 IPS |
|
|
Face Detection (Q)
|
97% |
32442
386.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
73075
563.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
138110
1.07 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56200
452.8 IPS |
|
|
Style Transfer (SP)
|
100% |
381256
490.1 IPS |
|
|
Style Transfer (HP)
|
100% |
830299
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
337071
434.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48917
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71649
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40016
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3817
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2056
45.9 IPS |
