Mac Pro (Late 2019)
Geekbench AI Score
1061
Single Precision Score
800
Half Precision Score
498
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 05 2024 06:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3265M |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
286
4.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
1384
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
92% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1666
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
798
6.24 IPS |
|
|
Style Transfer (SP)
|
100% |
6452
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
6453
8.30 IPS |
|
|
Style Transfer (Q)
|
96% |
3876
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.3 IPS |
|
|
Text Classification (HP)
|
100% |
358
477.4 IPS |
|
|
Text Classification (Q)
|
93% |
355
475.9 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
98% |
505
8.72 IPS |
