Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
26423
Single Precision Score
39230
Half Precision Score
20631
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-G DDR4 (MS-7D90) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10549
1.96 KIPS |
|
|
Image Classification (HP)
|
99% |
16109
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
9003
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16226
263.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19879
322.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14835
241.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
170889
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
410566
479.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
151973
178.1 IPS |
|
|
Object Detection (SP)
|
100% |
12793
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18926
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
10895
877.1 IPS |
|
|
Face Detection (SP)
|
100% |
34043
404.5 IPS |
|
|
Face Detection (HP)
|
100% |
43873
521.3 IPS |
|
|
Face Detection (Q)
|
97% |
29829
355.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
64165
494.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111212
859.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
50867
406.7 IPS |
|
|
Style Transfer (SP)
|
100% |
296625
381.3 IPS |
|
|
Style Transfer (HP)
|
100% |
673750
866.1 IPS |
|
|
Style Transfer (Q)
|
98% |
265308
342.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44486
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55870
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32494
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2098
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2302
43.2 IPS |
