System manufacturer System Product Name
Geekbench AI Score
3601
Single Precision Score
627
Half Precision Score
2962
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 10:40 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7980XE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X299 MARK 2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (Q)
|
97% |
2460
459.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1844
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15501
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8985
10.5 IPS |
|
|
Pose Estimation (Q)
|
87% |
21807
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (Q)
|
86% |
1448
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
96% |
3221
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9979
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
6431
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28007
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18727
24.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19437
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3068
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2333
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2359
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.3 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
60% |
1338
29.8 IPS |
