iMac19,1
Geekbench AI Score
808
Single Precision Score
647
Half Precision Score
471
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | idiaz |
| Upload Date | September 14 2024 08:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | iMac19,1 |
| Model ID | iMac19,1 |
| Motherboard | MSI Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
342
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
208
3.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
1617
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.81 IPS |
|
|
Face Detection (Q)
|
100% |
341
4.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
1265
9.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
1050
8.09 IPS |
|
|
Depth Estimation (Q)
|
86% |
698
5.45 IPS |
|
|
Style Transfer (SP)
|
100% |
3384
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2971
3.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2329
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
404
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.4 IPS |
|
|
Text Classification (HP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (Q)
|
93% |
480
644.1 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
