Apple Inc. MacBookPro16,2
Geekbench AI Score
1524
Single Precision Score
1771
Half Precision Score
1152
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CosmicJetta |
| Upload Date | May 23 2025 03:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
| 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% |
653
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
100% |
609
113.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
7986
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
4529
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (HP)
|
98% |
767
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
667
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1174
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2965
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3618
28.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
2359
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13233
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18659
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9743
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2965
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1098
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.9 IPS |
|
|
Text Classification (Q)
|
97% |
285
382.3 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
326
6.12 IPS |
