Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
35182
Single Precision Score
47161
Half Precision Score
26299
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13310
2.48 KIPS |
|
|
Image Classification (HP)
|
99% |
17286
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
10929
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19484
315.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22881
370.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18189
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
306361
357.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
507341
592.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
266524
312.1 IPS |
|
|
Object Detection (SP)
|
100% |
17196
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21904
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
13900
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
43602
518.1 IPS |
|
|
Face Detection (HP)
|
100% |
51470
611.6 IPS |
|
|
Face Detection (Q)
|
97% |
36633
436.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90909
700.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
149227
1.15 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66118
533.3 IPS |
|
|
Style Transfer (SP)
|
100% |
553472
711.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1014104
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
470675
606.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57503
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76528
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42834
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2001
44.6 IPS |
