iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
1448
Single Precision Score
1464
Half Precision Score
627
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | December 13 2025 12:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Polaris |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
998
185.7 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
2.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4976
5.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
1749
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
4230
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4285
33.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4002
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9834
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9794
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11988
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2163
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.7 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (Q)
|
93% |
303
407.2 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
98% |
260
4.49 IPS |
