Generic
Geekbench AI Score
2098
Single Precision Score
1060
Half Precision Score
2460
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | naadams |
| Upload Date | June 26 2025 09:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B250M Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1958
2.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
5774
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
1556
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
4420
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4339
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1619
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5466
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8224
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6539
8.41 IPS |
|
|
Style Transfer (Q)
|
87% |
9473
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2001
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.6 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1636
31.6 IPS |
