iMac (27-inch Retina Mid 2017)
Geekbench AI Score
619
Single Precision Score
519
Half Precision Score
433
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | ckirk73 |
| Upload Date | September 06 2024 10:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-7600K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.5 IPS |
|
|
Image Classification (Q)
|
99% |
226
42.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
100% |
219
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
1205
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
954
7.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
849
6.54 IPS |
|
|
Depth Estimation (Q)
|
97% |
830
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
2397
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2152
2.77 IPS |
|
|
Style Transfer (Q)
|
100% |
2038
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
343
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.0 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.6 IPS |
|
|
Text Classification (Q)
|
93% |
393
527.7 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
98% |
403
6.96 IPS |
