Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
32405
Single Precision Score
48989
Half Precision Score
24894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 08 2025 05:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-VC WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12496
2.32 KIPS |
|
|
Image Classification (HP)
|
99% |
18381
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10969
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24400
395.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33378
541.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21962
357.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
190715
222.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
478790
558.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
171125
200.5 IPS |
|
|
Object Detection (SP)
|
100% |
15804
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
24085
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
13183
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
46028
546.9 IPS |
|
|
Face Detection (HP)
|
100% |
62919
747.6 IPS |
|
|
Face Detection (Q)
|
97% |
38877
463.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
75668
583.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
125704
971.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
58647
468.9 IPS |
|
|
Style Transfer (SP)
|
100% |
331379
426.0 IPS |
|
|
Style Transfer (HP)
|
100% |
776090
997.7 IPS |
|
|
Style Transfer (Q)
|
98% |
292484
377.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51269
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64278
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37180
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4443
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2278
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6420
110.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2978
55.9 IPS |
