EVGA Z170 classified 4-way - GTX 1070 EVGA INTERNATIONAL CO.,LTD Default string
Geekbench AI Score
6681
Single Precision Score
6864
Half Precision Score
5057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | May 01 2025 03:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD Default string |
| Motherboard | EVGA INTERNATIONAL CO.,LTD 151-SS-E179 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (Q)
|
99% |
1705
318.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4012
65.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3560
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
51906
60.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29127
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
41601
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
84% |
2168
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
7264
86.3 IPS |
|
|
Face Detection (Q)
|
97% |
4028
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15716
121.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15033
116.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12231
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81308
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48573
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
61755
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12419
458.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10604
391.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8363
309.7 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1953
33.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |
