Mac Pro (Late 2019)
Geekbench AI Score
5587
Single Precision Score
5851
Half Precision Score
1238
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 07 2025 04:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3740
695.5 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.0 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
48299
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44371
51.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2831
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
3894
308.9 IPS |
|
|
Object Detection (HP)
|
100% |
3934
312.0 IPS |
|
|
Object Detection (Q)
|
92% |
77
6.14 IPS |
|
|
Face Detection (SP)
|
100% |
13366
158.8 IPS |
|
|
Face Detection (HP)
|
100% |
15534
184.6 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
19589
150.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20728
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19573
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
94389
121.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98987
127.2 IPS |
|
|
Style Transfer (Q)
|
96% |
124272
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7518
277.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11354
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10037
370.6 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.8 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.8 IPS |
|
|
Text Classification (Q)
|
93% |
411
551.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
968
16.7 IPS |
