Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20272
Single Precision Score
32913
Half Precision Score
15918
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
9125
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14201
2.65 KIPS |
|
|
Image Classification (Q)
|
99% |
8010
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12307
199.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15272
247.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11169
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
105037
122.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
329303
384.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
94288
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
10180
807.5 IPS |
|
|
Object Detection (HP)
|
100% |
16817
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
8891
715.8 IPS |
|
|
Face Detection (SP)
|
100% |
23635
280.8 IPS |
|
|
Face Detection (HP)
|
100% |
35661
423.7 IPS |
|
|
Face Detection (Q)
|
97% |
20877
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
49515
381.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
90212
695.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40063
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195026
250.7 IPS |
|
|
Style Transfer (HP)
|
100% |
440551
566.3 IPS |
|
|
Style Transfer (Q)
|
98% |
174599
225.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33677
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53048
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25388
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4398
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1742
32.7 IPS |
