iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
709
Single Precision Score
88
Half Precision Score
73
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | odambo |
| Upload Date | June 16 2025 04:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2396
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
439
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
830
9.87 IPS |
|
|
Face Detection (HP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (Q)
|
100% |
284
3.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
85% |
527
4.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2887
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1766
2.27 IPS |
|
|
Style Transfer (Q)
|
96% |
1466
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
276
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.3 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.1 IPS |
|
|
Text Classification (Q)
|
93% |
400
536.2 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
98% |
443
7.66 IPS |
