iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
1996
Single Precision Score
2068
Half Precision Score
857
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | flipflop |
| Upload Date | August 15 2025 10:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
243
3.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
7178
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7724
9.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2437
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (Q)
|
92% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
5197
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
6288
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6660
51.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6240
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14492
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15469
19.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19192
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3430
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3152
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
398
530.8 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.2 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.5 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.73 IPS |
|
|
Machine Translation (Q)
|
98% |
331
5.71 IPS |
