MacBookPro16,4
Geekbench AI Score
472
Single Precision Score
395
Half Precision Score
319
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | WTT |
| Upload Date | August 20 2024 04:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4712MQ |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Acidanthera Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4712MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
100% |
155
2.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
868
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (Q)
|
92% |
113
9.01 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (Q)
|
100% |
186
2.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
785
6.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
97% |
669
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1727
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1510
1.94 IPS |
|
|
Style Transfer (Q)
|
100% |
1360
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.3 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.3 IPS |
|
|
Text Classification (Q)
|
93% |
277
371.8 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
98% |
320
5.53 IPS |
