Apple Inc. MacBookPro16,3
Geekbench AI Score
2120
Single Precision Score
2127
Half Precision Score
2967
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 26 2026 10:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8257U CPU @ 1.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (Q)
|
100% |
2050
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2230
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2257
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
4279
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
87% |
1939
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3718
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
5235
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3016
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3034
23.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5183
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6692
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6762
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12883
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2733
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
91% |
642
862.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2280
39.3 IPS |
