Apple Inc. MacBookPro16,2
Geekbench AI Score
8358
Single Precision Score
7705
Half Precision Score
6033
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 01:58 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | Apple Inc. MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2505
465.8 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.8 IPS |
|
|
Image Classification (Q)
|
100% |
2027
377.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4451
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3740
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
80815
94.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
47582
55.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62509
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
3035
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (Q)
|
89% |
2570
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8107
96.3 IPS |
|
|
Face Detection (Q)
|
97% |
5136
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23391
180.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20087
155.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
16326
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
130870
168.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70171
90.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93800
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17504
646.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12787
472.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10694
396.0 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1561
27.0 IPS |
|
|
Machine Translation (Q)
|
60% |
788
17.6 IPS |
