Apple Inc. MacPro7,1
Geekbench AI Score
23498
Single Precision Score
25794
Half Precision Score
17502
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 10 2026 12:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275 |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 224.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10140
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
9847
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
8067
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13174
213.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12347
200.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12085
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
177794
207.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
258207
301.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
150857
176.8 IPS |
|
|
Object Detection (SP)
|
100% |
10230
811.4 IPS |
|
|
Object Detection (HP)
|
100% |
10501
832.9 IPS |
|
|
Object Detection (Q)
|
87% |
8528
684.9 IPS |
|
|
Face Detection (SP)
|
100% |
28210
335.2 IPS |
|
|
Face Detection (HP)
|
100% |
30205
358.9 IPS |
|
|
Face Detection (Q)
|
97% |
23038
274.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
58303
449.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66075
509.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
41892
336.4 IPS |
|
|
Style Transfer (SP)
|
100% |
307324
395.1 IPS |
|
|
Style Transfer (HP)
|
100% |
401308
515.9 IPS |
|
|
Style Transfer (Q)
|
98% |
244684
315.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36798
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42052
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25511
944.6 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1818
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1964
36.8 IPS |
