Generic
Geekbench AI Score
5915
Single Precision Score
5838
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Esen |
| Upload Date | December 05 2025 02:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock AB350 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
99% |
1225
228.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3264
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36710
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20451
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29906
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
2943
233.4 IPS |
|
|
Object Detection (Q)
|
83% |
1682
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
3869
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
5808
69.0 IPS |
|
|
Face Detection (Q)
|
97% |
3417
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12356
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11510
88.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9921
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60537
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37190
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48258
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11600
428.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8519
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7589
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2835
49.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1328
24.9 IPS |
