Apple Inc. MacBookPro16,2
Geekbench AI Score
2399
Single Precision Score
2345
Half Precision Score
6457
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 02:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-1038NG7 CPU @ 2.00GHz |
| 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% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.0 IPS |
|
|
Image Classification (Q)
|
100% |
3889
723.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3664
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
10603
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (Q)
|
88% |
4098
328.5 IPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
10080
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3764
29.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
3826
29.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
11131
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7583
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7540
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
28526
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5461
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3278
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (Q)
|
85% |
3553
62.2 IPS |
