ASUS Z97M Plus ASUS All Series
Geekbench AI Score
24803
Single Precision Score
33348
Half Precision Score
20300
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | niepw |
| Upload Date | March 25 2025 01:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Z97M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9596
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
12423
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
8128
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13831
224.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15814
256.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12798
208.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
230433
268.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
398031
464.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
204623
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
11621
921.8 IPS |
|
|
Object Detection (HP)
|
100% |
14615
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
10352
832.7 IPS |
|
|
Face Detection (SP)
|
100% |
29853
354.7 IPS |
|
|
Face Detection (HP)
|
100% |
35711
424.3 IPS |
|
|
Face Detection (Q)
|
97% |
27034
322.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71443
550.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
117849
910.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
55866
446.1 IPS |
|
|
Style Transfer (SP)
|
100% |
328086
421.8 IPS |
|
|
Style Transfer (HP)
|
100% |
643967
827.8 IPS |
|
|
Style Transfer (Q)
|
98% |
301249
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40167
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54232
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32683
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3173
4.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1990
37.3 IPS |
