iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
583
Single Precision Score
78
Half Precision Score
66
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | July 23 2025 12:04 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | iMac (21.5-inch Retina Mid 2017) |
| Model ID | iMac18,2 |
| Motherboard | Apple Inc. Mac-77F17D7DA9285301 iMac18,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
271
50.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1851
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
379
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
692
8.22 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
100% |
246
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.95 IPS |
|
|
Depth Estimation (Q)
|
85% |
455
3.56 IPS |
|
|
Style Transfer (SP)
|
100% |
2350
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (Q)
|
96% |
1273
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
236
8.71 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.4 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.4 IPS |
|
|
Text Classification (Q)
|
93% |
359
481.5 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
98% |
363
6.26 IPS |
