ASUS WS X299 PRO/SE Intel Core i9 7960X MacPro7,1
Geekbench AI Score
4569
Single Precision Score
4742
Half Precision Score
1115
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | April 28 2025 06:11 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 | GPU |
| Device | AMD Radeon RX 5700 |
| 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)
|
94% |
3593
671.4 IPS |
|
|
Image Classification (HP)
|
94% |
3476
649.6 IPS |
|
|
Image Classification (Q)
|
96% |
100
18.7 IPS |
|
|
Image Segmentation (SP)
|
99% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
99% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
205
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
33362
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34828
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2584
3.03 IPS |
|
|
Object Detection (SP)
|
91% |
3906
312.0 IPS |
|
|
Object Detection (HP)
|
91% |
3974
317.5 IPS |
|
|
Object Detection (Q)
|
92% |
95
7.58 IPS |
|
|
Face Detection (SP)
|
100% |
10182
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
10553
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.53 IPS |
|
|
Depth Estimation (SP)
|
94% |
18818
145.7 IPS |
|
|
Depth Estimation (HP)
|
94% |
20718
160.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19109
149.4 IPS |
|
|
Style Transfer (SP)
|
100% |
63138
81.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63970
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
82416
106.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5972
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11235
414.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10106
373.2 IPS |
|
|
Text Classification (SP)
|
99% |
350
467.0 IPS |
|
|
Text Classification (HP)
|
99% |
254
338.7 IPS |
|
|
Text Classification (Q)
|
93% |
244
328.1 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
716
12.4 IPS |
