Mac Pro (Late 2019)
Geekbench AI Score
6065
Single Precision Score
6792
Half Precision Score
1262
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | clallo |
| Upload Date | March 19 2026 02:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3245 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3955
735.5 IPS |
|
|
Image Classification (HP)
|
100% |
4211
783.1 IPS |
|
|
Image Classification (Q)
|
96% |
70
13.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
83232
97.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
74616
87.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2395
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
4283
339.8 IPS |
|
|
Object Detection (HP)
|
100% |
3846
305.1 IPS |
|
|
Object Detection (Q)
|
92% |
54
4.29 IPS |
|
|
Face Detection (SP)
|
100% |
10556
125.4 IPS |
|
|
Face Detection (HP)
|
100% |
14966
177.8 IPS |
|
|
Face Detection (Q)
|
100% |
215
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
23667
182.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28758
221.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
27383
214.1 IPS |
|
|
Style Transfer (SP)
|
100% |
146260
188.0 IPS |
|
|
Style Transfer (HP)
|
100% |
140247
180.3 IPS |
|
|
Style Transfer (Q)
|
96% |
168229
217.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6782
250.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16833
621.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15740
581.2 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.4 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.5 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
