ASUS System Product Name
Geekbench AI Score
2371
Single Precision Score
1187
Half Precision Score
3970
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MacminiM2 |
| Upload Date | November 23 2024 08:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A AX6 II |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
99% |
3701
690.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
2616
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
17271
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
88% |
1619
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
4423
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1861
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5080
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10316
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9538
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20206
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2906
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.4 IPS |
|
|
Text Classification (Q)
|
97% |
1488
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1832
40.9 IPS |
