MacBookPro16,2
Geekbench AI Score
377
Single Precision Score
366
Half Precision Score
244
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | March 18 2026 04:43 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBookPro16,2 |
| Model ID | MacBookPro16,2 |
| Motherboard | Acidanthera Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
108
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
891
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
510
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.3 IPS |
|
|
Object Detection (Q)
|
93% |
118
9.41 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
100% |
168
2.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
696
5.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
668
5.14 IPS |
|
|
Depth Estimation (Q)
|
85% |
654
5.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1217
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1230
1.58 IPS |
|
|
Style Transfer (Q)
|
96% |
1193
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
298
11.0 IPS |
|
|
Text Classification (SP)
|
73% |
73
103.6 IPS |
|
|
Text Classification (HP)
|
73% |
73
103.9 IPS |
|
|
Text Classification (Q)
|
89% |
76
102.1 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
98% |
337
5.82 IPS |
