Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
27764
Single Precision Score
39023
Half Precision Score
21677
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 23 2025 10:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11201
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
15007
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
9752
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16286
264.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19563
317.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15035
244.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
196552
229.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
430947
502.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
174570
204.5 IPS |
|
|
Object Detection (SP)
|
100% |
13386
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
18392
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
11441
920.3 IPS |
|
|
Face Detection (SP)
|
100% |
37294
443.1 IPS |
|
|
Face Detection (HP)
|
100% |
46137
548.2 IPS |
|
|
Face Detection (Q)
|
97% |
32532
387.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
72914
561.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
118813
917.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
56169
449.1 IPS |
|
|
Style Transfer (SP)
|
100% |
342850
440.7 IPS |
|
|
Style Transfer (HP)
|
100% |
740278
951.6 IPS |
|
|
Style Transfer (Q)
|
98% |
300730
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45828
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55159
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33256
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1939
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2208
41.4 IPS |
