Apple Inc. MacPro5,1
Geekbench AI Score
15598
Single Precision Score
21425
Half Precision Score
13225
Quantized Score
Geekbench AI 1.3.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | April 29 2025 03:17 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5985
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
7637
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
5654
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6712
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7476
121.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6462
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
139744
163.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
301806
352.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
123557
144.7 IPS |
|
|
Object Detection (SP)
|
100% |
7293
578.5 IPS |
|
|
Object Detection (HP)
|
100% |
9023
715.7 IPS |
|
|
Object Detection (Q)
|
83% |
6575
531.2 IPS |
|
|
Face Detection (SP)
|
100% |
16480
195.8 IPS |
|
|
Face Detection (HP)
|
100% |
18883
224.4 IPS |
|
|
Face Detection (Q)
|
97% |
15341
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53285
410.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81540
628.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
43382
347.6 IPS |
|
|
Style Transfer (SP)
|
100% |
188320
242.1 IPS |
|
|
Style Transfer (HP)
|
100% |
425702
547.2 IPS |
|
|
Style Transfer (Q)
|
98% |
163951
211.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27636
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39256
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23273
861.8 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1382
25.9 IPS |
