iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
1524
Single Precision Score
1558
Half Precision Score
684
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | odambo |
| Upload Date | June 16 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| 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% |
1026
190.8 IPS |
|
|
Image Classification (HP)
|
100% |
1049
195.0 IPS |
|
|
Image Classification (Q)
|
96% |
135
25.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
200
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
5028
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1858
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
1119
88.7 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
4412
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4571
35.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4247
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10295
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10348
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12668
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2319
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2370
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.8 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.5 IPS |
|
|
Text Classification (Q)
|
93% |
359
481.5 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
98% |
276
4.77 IPS |
