iMac20,2
Geekbench AI Score
671
Single Precision Score
571
Half Precision Score
399
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | uehashu |
| Upload Date | August 10 2025 09:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.7 (Build 23H723) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Acidanthera Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
190
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
1252
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
92% |
167
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
519
6.17 IPS |
|
|
Face Detection (Q)
|
100% |
251
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1049
8.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
906
6.98 IPS |
|
|
Depth Estimation (Q)
|
86% |
564
4.40 IPS |
|
|
Style Transfer (SP)
|
100% |
3019
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3242
4.17 IPS |
|
|
Style Transfer (Q)
|
96% |
2322
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
333
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.1 IPS |
|
|
Text Classification (HP)
|
100% |
373
498.0 IPS |
|
|
Text Classification (Q)
|
93% |
380
510.0 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
98% |
457
7.90 IPS |
