iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
1444
Single Precision Score
1469
Half Precision Score
630
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | March 18 2026 10:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Polaris |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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% |
998
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (Q)
|
96% |
120
22.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
187
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
4726
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4983
5.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
1723
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
4225
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4276
32.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4017
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9819
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9803
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11925
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2282
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2155
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.2 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.8 IPS |
|
|
Text Classification (Q)
|
93% |
308
412.8 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.55 IPS |
