Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
21323
Single Precision Score
29680
Half Precision Score
17267
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8820
1.64 KIPS |
|
|
Image Classification (HP)
|
99% |
12388
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
7987
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11688
189.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13376
216.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10960
178.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
146638
171.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
303718
354.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
130278
152.6 IPS |
|
|
Object Detection (SP)
|
100% |
10830
859.0 IPS |
|
|
Object Detection (HP)
|
100% |
15546
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
9417
758.1 IPS |
|
|
Face Detection (SP)
|
100% |
24170
287.2 IPS |
|
|
Face Detection (HP)
|
100% |
30099
357.6 IPS |
|
|
Face Detection (Q)
|
97% |
21846
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
56954
438.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96220
741.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
45625
364.3 IPS |
|
|
Style Transfer (SP)
|
100% |
252158
324.2 IPS |
|
|
Style Transfer (HP)
|
100% |
504546
648.6 IPS |
|
|
Style Transfer (Q)
|
98% |
223432
288.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39917
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46816
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29190
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3138
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1840
34.5 IPS |
