MacBookPro16,2
Geekbench AI Score
828
Single Precision Score
822
Half Precision Score
344
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 09 2025 05:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| 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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
120
1.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
7566
8.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
12392
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1424
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
93% |
96
7.69 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (Q)
|
100% |
163
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1657
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1473
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3513
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (Q)
|
96% |
3435
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
751
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.7 IPS |
|
|
Text Classification (HP)
|
100% |
114
151.9 IPS |
|
|
Text Classification (Q)
|
93% |
108
144.8 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
98% |
226
3.90 IPS |
