MacPro7,1
Geekbench AI Score
985
Single Precision Score
726
Half Precision Score
457
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | December 14 2024 01:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
265
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2718
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1153
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
92% |
193
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
738
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
4531
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5014
6.45 IPS |
|
|
Style Transfer (Q)
|
96% |
3197
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
386
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.9 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.9 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.6 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.91 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.03 IPS |
