Apple Inc. MacBookPro16,2
Geekbench AI Score
1522
Single Precision Score
1780
Half Precision Score
1136
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | MST36-JP |
| Upload Date | January 23 2026 11:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.7 IPS |
|
|
Image Classification (Q)
|
100% |
605
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
811
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6048
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
4558
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (HP)
|
98% |
767
61.1 IPS |
|
|
Object Detection (Q)
|
86% |
676
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2958
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3602
27.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
2351
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13210
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18653
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9751
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1090
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.0 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
97% |
257
343.8 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
322
6.03 IPS |
