iMac (27-L13, Sequoia15) iMac (27-inch Late 2013)
Geekbench AI Score
561
Single Precision Score
423
Half Precision Score
303
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | September 28 2024 07:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4771 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMac (27-inch Late 2013) |
| Model ID | iMac14,2 |
| Motherboard | Apple Inc. Mac-27ADBB7B4CEE8E61 iMac14,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4771 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
122
22.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1590
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
441
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
92% |
141
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
764
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.24 IPS |
|
|
Depth Estimation (Q)
|
85% |
455
3.56 IPS |
|
|
Style Transfer (SP)
|
100% |
2040
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1603
2.06 IPS |
|
|
Style Transfer (Q)
|
96% |
1323
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
246
9.09 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.8 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.6 IPS |
|
|
Text Classification (Q)
|
93% |
343
459.9 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
98% |
413
7.14 IPS |
