iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
1908
Single Precision Score
1995
Half Precision Score
788
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | adottyondattt |
| Upload Date | July 17 2025 02:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| 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 i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
210
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
7292
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
7689
8.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
2109
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
92% |
161
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
6134
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6448
49.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6032
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14360
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15139
19.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18853
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3162
116.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2960
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
382
510.1 IPS |
|
|
Text Classification (HP)
|
100% |
402
537.0 IPS |
|
|
Text Classification (Q)
|
93% |
393
527.2 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
98% |
309
5.34 IPS |
