Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
27467
Single Precision Score
38202
Half Precision Score
21508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 16 2025 01:21 PM |
| Views | 15 |
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% |
11147
2.07 KIPS |
|
|
Image Classification (HP)
|
99% |
14964
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
9688
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16232
263.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19371
314.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14966
243.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
196281
229.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
431153
503.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
174682
204.7 IPS |
|
|
Object Detection (SP)
|
100% |
13166
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
18039
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
11354
913.4 IPS |
|
|
Face Detection (SP)
|
100% |
36956
439.1 IPS |
|
|
Face Detection (HP)
|
100% |
45832
544.6 IPS |
|
|
Face Detection (Q)
|
97% |
32344
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
72267
556.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
120289
929.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55721
445.5 IPS |
|
|
Style Transfer (SP)
|
100% |
341193
438.6 IPS |
|
|
Style Transfer (HP)
|
100% |
729148
937.3 IPS |
|
|
Style Transfer (Q)
|
98% |
300467
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45892
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54298
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33084
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2208
41.4 IPS |
