Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
18044
Single Precision Score
28815
Half Precision Score
11989
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kidsnd274 |
| Upload Date | January 07 2025 06:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS (MS-7B79) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7293
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
11114
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5418
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11047
179.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15617
253.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8943
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
105214
122.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
295479
344.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
83961
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
9339
740.8 IPS |
|
|
Object Detection (HP)
|
100% |
14061
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
6904
555.8 IPS |
|
|
Face Detection (SP)
|
100% |
20973
249.2 IPS |
|
|
Face Detection (HP)
|
100% |
31626
375.8 IPS |
|
|
Face Detection (Q)
|
97% |
16228
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44989
346.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84806
653.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30108
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
176514
226.9 IPS |
|
|
Style Transfer (HP)
|
100% |
433338
557.1 IPS |
|
|
Style Transfer (Q)
|
98% |
135758
175.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30826
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40943
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17687
654.9 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3349
4.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1386
26.0 IPS |
