Apple Inc. MacPro5,1
Geekbench AI Score
15794
Single Precision Score
21683
Half Precision Score
13400
Quantized Score
Geekbench AI 1.3.0 Pro for Windows x86 (64-bit)
Result Information
| User | coorelle |
| Upload Date | June 24 2025 02:58 PM |
| Views | 19 |
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% |
6064
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7724
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
5707
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6743
109.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7543
122.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6529
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
142770
166.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
308351
359.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
125829
147.4 IPS |
|
|
Object Detection (SP)
|
100% |
7428
589.2 IPS |
|
|
Object Detection (HP)
|
100% |
9142
725.1 IPS |
|
|
Object Detection (Q)
|
83% |
6719
542.9 IPS |
|
|
Face Detection (SP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (HP)
|
100% |
19206
228.2 IPS |
|
|
Face Detection (Q)
|
97% |
15615
186.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54382
419.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82755
637.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
44228
354.4 IPS |
|
|
Style Transfer (SP)
|
100% |
192854
247.9 IPS |
|
|
Style Transfer (HP)
|
100% |
439516
565.0 IPS |
|
|
Style Transfer (Q)
|
98% |
168726
217.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28287
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39731
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23990
888.3 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1368
25.7 IPS |
