ASUS WS X299 PRO/SE Intel Core i9 7960X MacPro7,1
Geekbench AI Score
4360
Single Precision Score
4487
Half Precision Score
1029
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | April 22 2025 11:42 AM |
| Views | 4 |
| Notes | Intel Core i9 7960X Trident Z Neo DDR4-3200 CL16-18-18-38 1.35V 256GB (8x32GB) F4-3200C16Q2-256GTZN ASUS WS X299 PRO/SE |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
94% |
3407
636.8 IPS |
|
|
Image Classification (HP)
|
94% |
3295
615.9 IPS |
|
|
Image Classification (Q)
|
96% |
86
16.0 IPS |
|
|
Image Segmentation (SP)
|
99% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
99% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
32182
37.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32978
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2514
2.95 IPS |
|
|
Object Detection (SP)
|
91% |
3772
301.3 IPS |
|
|
Object Detection (HP)
|
91% |
3725
297.7 IPS |
|
|
Object Detection (Q)
|
92% |
77
6.12 IPS |
|
|
Face Detection (SP)
|
100% |
9545
113.4 IPS |
|
|
Face Detection (HP)
|
100% |
9414
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
94% |
18035
139.6 IPS |
|
|
Depth Estimation (HP)
|
94% |
19785
153.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17095
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60192
77.4 IPS |
|
|
Style Transfer (HP)
|
100% |
61407
78.9 IPS |
|
|
Style Transfer (Q)
|
96% |
77259
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9455
349.1 IPS |
|
|
Text Classification (SP)
|
99% |
323
430.6 IPS |
|
|
Text Classification (HP)
|
99% |
238
318.0 IPS |
|
|
Text Classification (Q)
|
93% |
236
317.3 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
692
12.0 IPS |
