Apple Inc. MacBookPro16,2
Geekbench AI Score
2514
Single Precision Score
3525
Half Precision Score
3500
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CosmicJetta |
| Upload Date | May 23 2025 03:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
3925
4.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
8889
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
2398
190.8 IPS |
|
|
Object Detection (Q)
|
88% |
2233
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
6775
80.5 IPS |
|
|
Face Detection (Q)
|
97% |
6333
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8014
61.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7306
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13347
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20634
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18797
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.7 IPS |
|
|
Text Classification (SP)
|
71% |
618
894.2 IPS |
|
|
Text Classification (HP)
|
71% |
787
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
603
809.5 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
97% |
1134
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1126
19.5 IPS |
