Mac Pro (Late 2019)
Geekbench AI Score
1058
Single Precision Score
794
Half Precision Score
498
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | January 19 2025 10:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
279
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1666
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1381
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (Q)
|
100% |
322
3.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
1723
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1512
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
795
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
6103
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
6344
8.15 IPS |
|
|
Style Transfer (Q)
|
96% |
3832
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
653
872.0 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.9 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
98% |
532
9.20 IPS |
