Apple Inc. MacPro4,1
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
13
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | srini5 |
| Upload Date | March 22 2025 09:38 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W3520 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Apple Inc. MacPro4,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3520 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9
1.73 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.73 IPS |
|
|
Image Classification (Q)
|
97% |
8
1.47 IPS |
|
|
Image Segmentation (SP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
11
0.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
9
0.72 IPS |
|
|
Object Detection (HP)
|
100% |
9
0.72 IPS |
|
|
Object Detection (Q)
|
87% |
8
0.61 IPS |
|
|
Face Detection (SP)
|
100% |
30
0.36 IPS |
|
|
Face Detection (HP)
|
100% |
30
0.36 IPS |
|
|
Face Detection (Q)
|
97% |
25
0.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
22
0.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
22
0.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
16
0.14 IPS |
|
|
Style Transfer (SP)
|
100% |
46
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
46
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
39
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10
0.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10
0.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8
0.30 IPS |
|
|
Text Classification (SP)
|
100% |
12
16.4 IPS |
|
|
Text Classification (HP)
|
100% |
12
16.4 IPS |
|
|
Text Classification (Q)
|
91% |
10
13.3 IPS |
|
|
Machine Translation (SP)
|
100% |
24
0.41 IPS |
|
|
Machine Translation (HP)
|
100% |
24
0.41 IPS |
|
|
Machine Translation (Q)
|
58% |
13
0.32 IPS |
