iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
679
Single Precision Score
85
Half Precision Score
71
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | techidiot |
| Upload Date | August 20 2025 09:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | iMac (21.5-inch Retina Early 2019) |
| Model ID | iMac19,2 |
| Motherboard | Apple Inc. Mac-63001698E7A34814 iMac19,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
60.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
1035
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
85% |
514
4.02 IPS |
|
|
Style Transfer (SP)
|
100% |
2766
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1694
2.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1407
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
272
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.7 IPS |
|
|
Text Classification (HP)
|
100% |
394
525.7 IPS |
|
|
Text Classification (Q)
|
93% |
393
527.3 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
98% |
423
7.31 IPS |
