Apple Inc. MacBookPro16,2
Geekbench AI Score
2455
Single Precision Score
3393
Half Precision Score
3302
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 02:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| 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% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
100% |
1927
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
8855
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
99% |
2283
181.6 IPS |
|
|
Object Detection (Q)
|
88% |
2148
172.2 IPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (Q)
|
97% |
6353
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8078
62.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
7088
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13556
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20370
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18443
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2184
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3498
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3174
117.5 IPS |
|
|
Text Classification (SP)
|
71% |
621
898.8 IPS |
|
|
Text Classification (HP)
|
71% |
743
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
550
738.3 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
97% |
960
16.6 IPS |
|
|
Machine Translation (Q)
|
91% |
849
14.7 IPS |
