iMacPro1,1
Geekbench AI Score
1111
Single Precision Score
832
Half Precision Score
531
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | December 09 2024 07:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| 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% |
522
97.1 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
96% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
300
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1588
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
1268
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
92% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
100% |
345
4.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1851
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
865
6.77 IPS |
|
|
Style Transfer (SP)
|
100% |
4918
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
5343
6.87 IPS |
|
|
Style Transfer (Q)
|
96% |
3718
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
478
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.5 IPS |
|
|
Text Classification (HP)
|
100% |
386
514.7 IPS |
|
|
Text Classification (Q)
|
93% |
383
513.4 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
98% |
564
9.75 IPS |
