ASUS WS X299 PRO/SE Intel Core i9 7960X MacPro7,1
Geekbench AI Score
981
Single Precision Score
123
Half Precision Score
93
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | April 28 2025 06:05 AM |
| Views | 6 |
| 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 | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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)
|
100% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1137
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1347
10.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
731
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
5196
6.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4642
5.97 IPS |
|
|
Style Transfer (Q)
|
96% |
3072
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
792
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.2 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.3 IPS |
|
|
Text Classification (Q)
|
93% |
346
464.7 IPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
481
8.32 IPS |
