System manufacturer System Product Name
Geekbench AI Score
2148
Single Precision Score
972
Half Precision Score
3052
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bleveque14 |
| Upload Date | January 09 2025 07:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z370-E GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1555
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
2719
507.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
6889
8.14 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
58% |
1927
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4982
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4375
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1353
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6191
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8839
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6560
8.43 IPS |
|
|
Style Transfer (Q)
|
87% |
10645
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.7 IPS |
|
|
Text Classification (Q)
|
97% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1740
33.6 IPS |
