Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
32538
Single Precision Score
50318
Half Precision Score
24847
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 01:23 AM |
| Views | 3 |
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-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12940
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
18862
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11232
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23756
385.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32507
527.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21613
351.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
184458
215.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
477095
556.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
164190
192.4 IPS |
|
|
Object Detection (SP)
|
100% |
15837
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
24955
1.98 KIPS |
|
|
Object Detection (Q)
|
85% |
13442
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
45997
546.5 IPS |
|
|
Face Detection (HP)
|
100% |
64948
771.7 IPS |
|
|
Face Detection (Q)
|
97% |
38985
464.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77090
593.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
135180
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
58880
470.7 IPS |
|
|
Style Transfer (SP)
|
100% |
320872
412.5 IPS |
|
|
Style Transfer (HP)
|
100% |
787754
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
288008
371.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53698
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69370
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38199
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2296
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6418
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2888
54.2 IPS |
