System manufacturer System Product Name
Geekbench AI Score
7727
Single Precision Score
7671
Half Precision Score
9601
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | March 18 2025 05:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7960X CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (HP)
|
100% |
4491
835.3 IPS |
|
|
Image Classification (Q)
|
100% |
5673
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7283
118.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7187
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9059
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14081
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13280
15.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
21157
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (HP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (Q)
|
87% |
6512
522.3 IPS |
|
|
Face Detection (SP)
|
100% |
11806
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
11485
136.5 IPS |
|
|
Face Detection (Q)
|
97% |
18427
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13037
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13249
102.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
16510
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38600
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37710
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
55662
71.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7467
275.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9198
340.7 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
91% |
1651
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3656
63.0 IPS |
