iMac (27-inch Retina Early 2019)
Geekbench AI Score
2556
Single Precision Score
2659
Half Precision Score
387
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | toshiyuki |
| Upload Date | January 28 2025 10:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 570X |
| System Information | |
|---|---|
| Operating System | macOS 14.7.3 (Build 23H417) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| 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 | 24.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
258
4.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
11655
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12286
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2650
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (Q)
|
92% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
7223
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
260
3.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8133
62.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23206
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24829
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28952
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4551
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4507
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.7 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.7 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.5 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
98% |
317
5.48 IPS |
