Mac Pro (Late 2019)
Geekbench AI Score
801
Single Precision Score
110
Half Precision Score
85
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 20 2025 03:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1029
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
100% |
184
2.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
927
7.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
85% |
693
5.42 IPS |
|
|
Style Transfer (SP)
|
100% |
5240
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
4907
6.31 IPS |
|
|
Style Transfer (Q)
|
96% |
3095
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.9 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.4 IPS |
|
|
Text Classification (Q)
|
93% |
311
417.6 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
98% |
460
7.94 IPS |
