Mac Pro (Mid 2012)
Geekbench AI Score
220
Single Precision Score
46
Half Precision Score
38
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | i_am_taikun |
| Upload Date | August 16 2024 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5645 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Pro (Mid 2012) |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5645 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.49 IPS |
|
|
Image Classification (Q)
|
99% |
38
7.01 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
29
0.47 IPS |
|
|
Image Segmentation (Q)
|
100% |
29
0.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
162
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.54 IPS |
|
|
Object Detection (Q)
|
92% |
24
1.88 IPS |
|
|
Face Detection (SP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (HP)
|
100% |
66
0.78 IPS |
|
|
Face Detection (Q)
|
100% |
31
0.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
100
0.77 IPS |
|
|
Depth Estimation (Q)
|
97% |
219
1.69 IPS |
|
|
Style Transfer (SP)
|
100% |
924
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
434
0.56 IPS |
|
|
Style Transfer (Q)
|
100% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.89 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
58
2.16 IPS |
|
|
Text Classification (SP)
|
100% |
83
111.4 IPS |
|
|
Text Classification (HP)
|
36% |
9
80.1 IPS |
|
|
Text Classification (Q)
|
36% |
10
81.7 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.02 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.85 IPS |
