iMac (27-inch Retina Early 2019)
Geekbench AI Score
863
Single Precision Score
696
Half Precision Score
560
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | August 20 2024 06:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
99% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
100% |
289
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
1630
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
92% |
209
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1328
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.81 IPS |
|
|
Depth Estimation (Q)
|
97% |
883
6.83 IPS |
|
|
Style Transfer (SP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3260
4.19 IPS |
|
|
Style Transfer (Q)
|
100% |
3244
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.0 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.2 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
609
10.5 IPS |
