iMac (27-inch Retina Early 2019)
Geekbench AI Score
418
Single Precision Score
305
Half Precision Score
251
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | crishifi |
| Upload Date | September 22 2024 07:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.8 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
100% |
216
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
285
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
92% |
108
8.64 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.43 IPS |
|
|
Face Detection (Q)
|
100% |
166
1.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
650
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
97% |
510
3.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1178
1.51 IPS |
|
|
Style Transfer (Q)
|
100% |
1181
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.92 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
162
6.00 IPS |
|
|
Text Classification (SP)
|
100% |
207
275.7 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.2 IPS |
|
|
Text Classification (Q)
|
93% |
215
289.1 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
98% |
254
4.40 IPS |
