Gigabyte Technology Co., Ltd. Default string
Geekbench AI Score
7599
Single Precision Score
7610
Half Precision Score
5696
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | January 09 2026 04:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-UD5 WIFI-CF |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-4669 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.6 IPS |
|
|
Image Classification (Q)
|
99% |
1760
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4814
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4637
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4047
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
58886
68.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31912
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46276
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
4031
319.8 IPS |
|
|
Object Detection (Q)
|
84% |
2318
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
7798
92.7 IPS |
|
|
Face Detection (Q)
|
97% |
4692
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17742
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16955
131.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13795
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
92731
119.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54012
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
71056
91.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14660
541.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12150
448.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9448
349.9 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (Q)
|
97% |
862
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2396
41.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |
