Apple Inc. MacBookPro16,2
Geekbench AI Score
2549
Single Precision Score
3595
Half Precision Score
3517
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | MST36-JP |
| Upload Date | January 23 2026 11:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| 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% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.7 IPS |
|
|
Image Classification (Q)
|
100% |
1960
364.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
8878
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
2364
188.1 IPS |
|
|
Object Detection (Q)
|
88% |
2246
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7038
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
6497
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8174
63.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7322
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13802
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18861
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17351
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3542
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.7 IPS |
|
|
Text Classification (SP)
|
71% |
602
870.7 IPS |
|
|
Text Classification (HP)
|
71% |
843
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
558
749.8 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1384
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1383
23.9 IPS |
