Mac Pro (Late 2019)
Geekbench AI Score
990
Single Precision Score
132
Half Precision Score
96
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1633
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
1237
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1432
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
748
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
6267
8.06 IPS |
|
|
Style Transfer (HP)
|
100% |
6015
7.73 IPS |
|
|
Style Transfer (Q)
|
96% |
3525
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
388
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
614
819.8 IPS |
|
|
Text Classification (HP)
|
100% |
359
478.6 IPS |
|
|
Text Classification (Q)
|
93% |
353
473.2 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.82 IPS |
