Generic
Geekbench AI Score
3027
Single Precision Score
3108
Half Precision Score
2463
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | Caliqo |
| Upload Date | October 27 2025 12:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R9 200 / HD 7900 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme6/GB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4960X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (Q)
|
99% |
1207
225.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1607
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11712
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11750
13.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
10829
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1713
135.8 IPS |
|
|
Object Detection (Q)
|
86% |
1453
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3564
42.4 IPS |
|
|
Face Detection (Q)
|
97% |
3044
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7121
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7225
55.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5960
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21856
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19934
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
690
921.1 IPS |
|
|
Text Classification (HP)
|
100% |
699
933.1 IPS |
|
|
Text Classification (Q)
|
97% |
446
597.1 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
96% |
953
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
490
9.19 IPS |
