Mac Pro (Late 2019)
Geekbench AI Score
1085
Single Precision Score
824
Half Precision Score
512
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 31 2024 09:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
96% |
160
29.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
292
4.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
1394
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
92% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
827
9.83 IPS |
|
|
Face Detection (Q)
|
100% |
333
3.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
1706
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1555
12.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
822
6.43 IPS |
|
|
Style Transfer (SP)
|
100% |
6483
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
6654
8.55 IPS |
|
|
Style Transfer (Q)
|
96% |
4016
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
431
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.2 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.2 IPS |
|
|
Text Classification (Q)
|
93% |
366
490.6 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
98% |
532
9.19 IPS |
