Mac Pro (Late 2019)
Geekbench AI Score
915
Single Precision Score
680
Half Precision Score
467
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | December 14 2025 05:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3235 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.3 (Build 23J220) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3235 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
161
30.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
238
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
3110
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
1960
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
92% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
100% |
289
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
932
7.18 IPS |
|
|
Depth Estimation (Q)
|
86% |
608
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
4446
5.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4786
6.15 IPS |
|
|
Style Transfer (Q)
|
96% |
3156
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
334
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.0 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.6 IPS |
|
|
Text Classification (Q)
|
93% |
373
500.4 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
98% |
504
8.71 IPS |
