iMac20,1
Geekbench AI Score
780
Single Precision Score
98
Half Precision Score
82
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | August 10 2025 11:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-10105F |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | iMac20,1 |
| Model ID | iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
558
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1198
9.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.69 IPS |
|
|
Depth Estimation (Q)
|
85% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3365
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2217
2.85 IPS |
|
|
Style Transfer (Q)
|
96% |
1805
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
323
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.3 IPS |
|
|
Text Classification (HP)
|
100% |
455
606.7 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.3 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.33 IPS |
