Mac Pro (Late 2019)
Geekbench AI Score
5475
Single Precision Score
5771
Half Precision Score
1233
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 27 2024 08:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| 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% |
3510
652.7 IPS |
|
|
Image Classification (HP)
|
100% |
3516
653.8 IPS |
|
|
Image Classification (Q)
|
96% |
88
16.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
212
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
48212
56.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44314
51.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2788
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
92% |
92
7.31 IPS |
|
|
Face Detection (SP)
|
100% |
14570
173.1 IPS |
|
|
Face Detection (HP)
|
100% |
18065
214.7 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
19368
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20731
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19505
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
92608
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98340
126.4 IPS |
|
|
Style Transfer (Q)
|
96% |
123257
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11109
410.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9782
361.2 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.1 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.6 IPS |
|
|
Text Classification (Q)
|
93% |
373
500.1 IPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
889
15.4 IPS |
