Micro-Star International Co., Ltd. MS-7B17
Geekbench AI Score
16724
Single Precision Score
26366
Half Precision Score
11112
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:44 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z390 GAMING EDGE AC (MS-7B17) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9445
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
4616
858.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10317
167.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14553
235.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8440
137.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101018
117.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
280806
327.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
82199
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (HP)
|
100% |
12435
986.4 IPS |
|
|
Object Detection (Q)
|
85% |
6327
509.3 IPS |
|
|
Face Detection (SP)
|
100% |
19587
232.7 IPS |
|
|
Face Detection (HP)
|
100% |
28595
339.8 IPS |
|
|
Face Detection (Q)
|
97% |
15227
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42160
324.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75739
583.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28155
225.5 IPS |
|
|
Style Transfer (SP)
|
100% |
168656
216.8 IPS |
|
|
Style Transfer (HP)
|
100% |
415141
533.7 IPS |
|
|
Style Transfer (Q)
|
98% |
130569
168.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27684
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36742
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16557
613.1 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1273
23.9 IPS |
