ASUS System Product Name
Geekbench AI Score
7740
Single Precision Score
10194
Half Precision Score
5880
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 08:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.5 IPS |
|
|
Image Classification (Q)
|
100% |
2985
555.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3165
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
38303
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
63690
74.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28763
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
3388
268.8 IPS |
|
|
Object Detection (Q)
|
87% |
2468
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6190
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
11182
132.9 IPS |
|
|
Face Detection (Q)
|
97% |
5182
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17584
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24480
188.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13888
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59595
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93455
120.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42505
54.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12379
457.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17190
634.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8502
314.8 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1656
31.1 IPS |
