MacPro7,1
Geekbench AI Score
1159
Single Precision Score
860
Half Precision Score
544
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | December 15 2024 07:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.7 IPS |
|
|
Image Classification (Q)
|
96% |
187
34.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
2820
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1639
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
1280
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
92% |
231
18.5 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
351
4.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
1950
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1685
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
891
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
5204
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
5589
7.19 IPS |
|
|
Style Transfer (Q)
|
96% |
3814
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
491
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
404
538.9 IPS |
|
|
Text Classification (Q)
|
93% |
398
534.8 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (Q)
|
98% |
577
9.97 IPS |
