MacBookPro16,3
Geekbench AI Score
5714
Single Precision Score
5797
Half Precision Score
1457
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mobilesearch |
| Upload Date | December 15 2024 05:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600M |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4708
875.5 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.5 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
35644
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32244
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2928
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.4 IPS |
|
|
Object Detection (HP)
|
100% |
4482
355.5 IPS |
|
|
Object Detection (Q)
|
92% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
9448
112.3 IPS |
|
|
Face Detection (HP)
|
100% |
10767
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
279
3.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
21962
169.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20918
161.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
19703
153.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58943
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56504
72.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69052
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9019
333.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12173
449.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11715
432.6 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.3 IPS |
|
|
Text Classification (HP)
|
100% |
604
805.6 IPS |
|
|
Text Classification (Q)
|
93% |
546
732.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1185
20.5 IPS |
