Mac Pro (Late 2019)
Geekbench AI Score
5804
Single Precision Score
5980
Half Precision Score
1313
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 08 2025 08:54 PM |
| Views | 3 |
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-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% |
3819
710.2 IPS |
|
|
Image Classification (HP)
|
100% |
3881
721.8 IPS |
|
|
Image Classification (Q)
|
96% |
99
18.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
48500
56.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
44454
51.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2898
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
3962
314.3 IPS |
|
|
Object Detection (HP)
|
100% |
3994
316.8 IPS |
|
|
Object Detection (Q)
|
92% |
102
8.14 IPS |
|
|
Face Detection (SP)
|
100% |
16109
191.4 IPS |
|
|
Face Detection (HP)
|
100% |
16313
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
19823
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20737
159.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19678
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93391
120.1 IPS |
|
|
Style Transfer (HP)
|
100% |
98742
126.9 IPS |
|
|
Style Transfer (Q)
|
96% |
123999
160.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7847
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11489
424.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10106
373.2 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.7 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.7 IPS |
|
|
Text Classification (Q)
|
93% |
423
567.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
