Mac Pro (Mid 2010)
Geekbench AI Score
295
Single Precision Score
59
Half Precision Score
51
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 11:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W3680 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Pro (Mid 2010) |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro5,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.33 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.69 IPS |
|
|
Image Classification (Q)
|
99% |
52
9.68 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (Q)
|
100% |
41
0.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
216
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.90 IPS |
|
|
Object Detection (Q)
|
92% |
34
2.68 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
97
1.16 IPS |
|
|
Face Detection (Q)
|
100% |
46
0.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
141
1.08 IPS |
|
|
Depth Estimation (Q)
|
97% |
328
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1185
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
541
0.70 IPS |
|
|
Style Transfer (Q)
|
100% |
544
0.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
72
2.65 IPS |
|
|
Text Classification (SP)
|
100% |
123
164.4 IPS |
|
|
Text Classification (HP)
|
36% |
14
115.3 IPS |
|
|
Text Classification (Q)
|
36% |
14
114.8 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.46 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.19 IPS |
