Apple Inc. MacPro5,1
Geekbench AI Score
18151
Single Precision Score
26028
Half Precision Score
15209
Quantized Score
Geekbench AI 1.3.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | November 29 2025 03:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6804
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
8973
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
6451
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8807
142.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10104
163.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8393
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
150461
175.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
359466
419.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
132351
155.0 IPS |
|
|
Object Detection (SP)
|
100% |
8960
710.7 IPS |
|
|
Object Detection (HP)
|
100% |
11660
924.9 IPS |
|
|
Object Detection (Q)
|
83% |
8041
649.7 IPS |
|
|
Face Detection (SP)
|
100% |
20768
246.8 IPS |
|
|
Face Detection (HP)
|
100% |
24626
292.6 IPS |
|
|
Face Detection (Q)
|
97% |
19087
227.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57913
446.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95231
733.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
47034
376.9 IPS |
|
|
Style Transfer (SP)
|
100% |
203614
261.7 IPS |
|
|
Style Transfer (HP)
|
100% |
512112
658.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177798
229.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30685
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45061
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25644
949.6 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1619
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1735
32.5 IPS |
