iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
952
Single Precision Score
113
Half Precision Score
91
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | flipflop |
| Upload Date | August 15 2025 10:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| 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 i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2998
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
674
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
100% |
344
4.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1503
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
85% |
737
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
4367
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2897
3.72 IPS |
|
|
Style Transfer (Q)
|
96% |
2148
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.1 IPS |
|
|
Text Classification (HP)
|
100% |
476
634.8 IPS |
|
|
Text Classification (Q)
|
93% |
475
637.8 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
589
10.2 IPS |
