Apple Inc. MacPro5,1
Geekbench AI Score
15623
Single Precision Score
21443
Half Precision Score
13344
Quantized Score
Geekbench AI 1.3.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | November 30 2025 02:40 AM |
| Views | 11 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5917
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
7480
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
5610
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6661
108.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7459
120.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6450
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
141639
165.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
309947
361.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
124648
146.0 IPS |
|
|
Object Detection (SP)
|
100% |
7343
582.4 IPS |
|
|
Object Detection (HP)
|
100% |
8968
711.4 IPS |
|
|
Object Detection (Q)
|
83% |
6719
542.9 IPS |
|
|
Face Detection (SP)
|
100% |
16592
197.1 IPS |
|
|
Face Detection (HP)
|
100% |
19074
226.6 IPS |
|
|
Face Detection (Q)
|
97% |
15490
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53883
415.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84228
648.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
44114
353.5 IPS |
|
|
Style Transfer (SP)
|
100% |
190511
244.9 IPS |
|
|
Style Transfer (HP)
|
100% |
431607
554.8 IPS |
|
|
Style Transfer (Q)
|
98% |
167086
215.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27857
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39042
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23663
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1380
25.9 IPS |
