iMac20,2
Geekbench AI Score
1093
Single Precision Score
843
Half Precision Score
558
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Fritzt |
| Upload Date | March 01 2025 09:48 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (Q)
|
96% |
218
40.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
350
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
3001
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
92% |
257
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
100% |
405
4.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1543
11.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
889
6.96 IPS |
|
|
Style Transfer (SP)
|
100% |
4285
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3924
5.04 IPS |
|
|
Style Transfer (Q)
|
96% |
2835
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
490
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
504
672.8 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.7 IPS |
|
|
Text Classification (Q)
|
93% |
503
674.8 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
685
11.8 IPS |
