ASUS System Product Name
Geekbench AI Score
12935
Single Precision Score
19535
Half Precision Score
21009
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 04:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13490F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5651
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7969
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8291
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12964
210.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15862
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17281
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66846
78.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
191088
223.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
262228
307.0 IPS |
|
|
Object Detection (SP)
|
100% |
5238
415.4 IPS |
|
|
Object Detection (HP)
|
100% |
8954
710.3 IPS |
|
|
Object Detection (Q)
|
88% |
9433
756.0 IPS |
|
|
Face Detection (SP)
|
100% |
24329
289.1 IPS |
|
|
Face Detection (HP)
|
100% |
29314
348.3 IPS |
|
|
Face Detection (Q)
|
100% |
34062
404.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24758
190.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47325
364.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
52820
410.6 IPS |
|
|
Style Transfer (SP)
|
100% |
172243
221.4 IPS |
|
|
Style Transfer (HP)
|
100% |
292321
375.8 IPS |
|
|
Style Transfer (Q)
|
98% |
357115
460.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17168
633.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24559
906.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24540
908.8 IPS |
|
|
Text Classification (SP)
|
100% |
1764
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1270
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2361
40.7 IPS |
