iMac20,2
Geekbench AI Score
912
Single Precision Score
746
Half Precision Score
573
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | varase |
| Upload Date | August 16 2024 12:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Apple Inc. Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10910 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
100% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
1462
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
92% |
212
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
767
9.11 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1438
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
97% |
879
6.80 IPS |
|
|
Style Transfer (SP)
|
100% |
3694
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3870
4.97 IPS |
|
|
Style Transfer (Q)
|
100% |
3675
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.8 IPS |
|
|
Text Classification (HP)
|
100% |
498
664.8 IPS |
|
|
Text Classification (Q)
|
93% |
495
664.6 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
630
10.9 IPS |
