iMac (27-inch Retina Mid 2017)
Geekbench AI Score
2384
Single Precision Score
2113
Half Precision Score
736
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | YOUNGMONEY |
| Upload Date | May 08 2025 11:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 470 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 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% |
1853
344.6 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.2 IPS |
|
|
Image Classification (Q)
|
96% |
106
19.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
11865
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10753
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1935
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
92% |
128
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5679
43.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6612
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21639
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28329
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3192
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
270
359.7 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.9 IPS |
|
|
Text Classification (Q)
|
93% |
298
400.1 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
98% |
269
4.65 IPS |
