Apple Inc. MacBookPro16,1
Geekbench AI Score
1575
Single Precision Score
680
Half Precision Score
1549
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Freade |
| Upload Date | October 21 2024 04:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
96% |
1303
243.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
5015
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
86% |
914
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (Q)
|
96% |
2054
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3225
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
910
7.01 IPS |
|
|
Depth Estimation (Q)
|
77% |
2776
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7145
9.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5299
6.81 IPS |
|
|
Style Transfer (Q)
|
87% |
8131
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
344
458.7 IPS |
|
|
Text Classification (Q)
|
97% |
225
301.4 IPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
60% |
902
20.1 IPS |
