MacBookPro16,3
Geekbench AI Score
5454
Single Precision Score
5555
Half Precision Score
1428
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | mobilesearch |
| Upload Date | November 22 2025 03:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600M |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBookPro16,3 |
| Model ID | MacBookPro16,3 |
| Motherboard | Acidanthera Mac-E7203C0F68AA0004 MacBookPro16,3 |
| 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% |
4243
789.0 IPS |
|
|
Image Classification (HP)
|
100% |
4254
791.2 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
230
3.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
35298
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31846
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2421
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
4020
318.8 IPS |
|
|
Object Detection (HP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (Q)
|
92% |
148
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
10382
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11233
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
269
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
21966
169.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20942
161.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19671
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59815
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56049
72.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69067
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9000
332.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12159
449.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11655
430.4 IPS |
|
|
Text Classification (SP)
|
71% |
619
895.0 IPS |
|
|
Text Classification (HP)
|
71% |
616
891.2 IPS |
|
|
Text Classification (Q)
|
71% |
563
813.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
