Micro-Star International Co., Ltd. MS-7D88
Geekbench AI Score
33881
Single Precision Score
51255
Half Precision Score
25086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D88 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-S WIFI (MS-7D88) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13649
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
19827
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11781
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23936
388.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31791
515.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21358
347.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
191155
223.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
495479
578.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
165327
193.7 IPS |
|
|
Object Detection (SP)
|
100% |
16546
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
24768
1.96 KIPS |
|
|
Object Detection (Q)
|
85% |
13761
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
47691
566.7 IPS |
|
|
Face Detection (HP)
|
100% |
64789
769.8 IPS |
|
|
Face Detection (Q)
|
97% |
40874
487.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84455
650.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
141513
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62735
501.6 IPS |
|
|
Style Transfer (SP)
|
100% |
349456
449.2 IPS |
|
|
Style Transfer (HP)
|
100% |
842228
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
310144
399.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53768
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68046
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37223
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2286
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6340
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6125
105.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2548
47.8 IPS |
