Mac Pro (Late 2019)
Geekbench AI Score
1003
Single Precision Score
774
Half Precision Score
484
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 27 2024 07:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| 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-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
284
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
3029
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
1341
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
92% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1423
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
761
5.95 IPS |
|
|
Style Transfer (SP)
|
100% |
5935
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6213
7.99 IPS |
|
|
Style Transfer (Q)
|
96% |
3732
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
637
849.7 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.9 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.2 IPS |
|
|
Machine Translation (SP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.54 IPS |
