Apple Inc. MacBookPro16,1
Geekbench AI Score
5389
Single Precision Score
6660
Half Precision Score
4324
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 14 2025 12:53 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
100% |
1660
308.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2552
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32515
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56785
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28371
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (Q)
|
86% |
1986
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (Q)
|
97% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12229
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14072
108.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10246
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57713
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
88874
114.2 IPS |
|
|
Style Transfer (Q)
|
98% |
47068
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11380
420.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15408
568.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8224
304.5 IPS |
|
|
Text Classification (SP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1171
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
70% |
974
18.3 IPS |
