MacBookPro16,2
Geekbench AI Score
606
Single Precision Score
79
Half Precision Score
66
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 09 2025 05:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBookPro16,2 |
| Model ID | MacBookPro16,2 |
| Motherboard | Acidanthera Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
437
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (Q)
|
100% |
208
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
813
6.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
85% |
511
3.99 IPS |
|
|
Style Transfer (SP)
|
100% |
2211
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1673
2.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1487
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
270
9.99 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.4 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.1 IPS |
|
|
Text Classification (Q)
|
93% |
280
376.0 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
98% |
314
5.43 IPS |
