MacBookPro16,2
Geekbench AI Score
5056
Single Precision Score
5226
Half Precision Score
1278
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | mobilesearch |
| Upload Date | December 16 2025 07:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600M |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBookPro16,2 |
| Model ID | MacBookPro16,2 |
| Motherboard | Acidanthera Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4089
760.5 IPS |
|
|
Image Classification (HP)
|
100% |
4127
767.6 IPS |
|
|
Image Classification (Q)
|
96% |
145
27.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
205
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
33468
39.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31242
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2286
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
3843
304.8 IPS |
|
|
Object Detection (HP)
|
100% |
3931
311.8 IPS |
|
|
Object Detection (Q)
|
92% |
96
7.64 IPS |
|
|
Face Detection (SP)
|
100% |
8336
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
9257
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
21159
163.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20456
157.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19081
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58059
74.6 IPS |
|
|
Style Transfer (HP)
|
100% |
55212
71.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67171
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7959
293.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11809
436.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11249
415.4 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.9 IPS |
|
|
Text Classification (HP)
|
100% |
609
812.3 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.0 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
910
15.7 IPS |
