iMac (21.5-inch Retina Early 2019)
Geekbench AI Score
1866
Single Precision Score
1973
Half Precision Score
785
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | woefio |
| Upload Date | December 04 2024 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (Q)
|
96% |
143
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
7205
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
7734
9.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
2178
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (Q)
|
92% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
248
2.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
6057
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6422
49.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5942
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14379
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15283
19.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18920
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3185
117.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2917
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
364
485.4 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.2 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.8 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
98% |
307
5.31 IPS |
