Apple Inc. MacBookPro16,1
Geekbench AI Score
18159
Single Precision Score
23984
Half Precision Score
15462
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | November 29 2025 04:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6389
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
8031
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6029
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8239
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8907
144.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7874
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
183316
213.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
407833
475.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
166037
194.5 IPS |
|
|
Object Detection (SP)
|
100% |
8352
662.5 IPS |
|
|
Object Detection (HP)
|
100% |
9777
775.5 IPS |
|
|
Object Detection (Q)
|
86% |
7625
612.6 IPS |
|
|
Face Detection (SP)
|
100% |
20641
245.3 IPS |
|
|
Face Detection (HP)
|
100% |
22945
272.6 IPS |
|
|
Face Detection (Q)
|
97% |
19033
226.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65276
502.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95917
739.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
52099
416.0 IPS |
|
|
Style Transfer (SP)
|
100% |
259188
333.2 IPS |
|
|
Style Transfer (HP)
|
100% |
533838
686.3 IPS |
|
|
Style Transfer (Q)
|
98% |
232279
299.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33141
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41122
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27984
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1481
27.8 IPS |
