MacPro7,1
Geekbench AI Score
677
Single Precision Score
551
Half Precision Score
356
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 26 2024 06:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Micro-Star International Co., Ltd. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Transfer Rate | 3600 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
96% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1462
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
92% |
146
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
100% |
271
3.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
85% |
542
4.24 IPS |
|
|
Style Transfer (SP)
|
100% |
3816
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3798
4.88 IPS |
|
|
Style Transfer (Q)
|
96% |
2478
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.4 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.1 IPS |
|
|
Text Classification (Q)
|
93% |
138
185.8 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.16 IPS |
