Apple Inc. MacBookPro16,1
Geekbench AI Score
17868
Single Precision Score
23252
Half Precision Score
15236
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | November 21 2025 02:45 PM |
| Views | 2 |
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% |
6474
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7446
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
6034
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8112
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8891
144.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7805
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
189921
221.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
401180
468.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
164713
192.9 IPS |
|
|
Object Detection (SP)
|
100% |
8250
654.4 IPS |
|
|
Object Detection (HP)
|
100% |
9697
769.2 IPS |
|
|
Object Detection (Q)
|
86% |
7669
616.1 IPS |
|
|
Face Detection (SP)
|
100% |
20645
245.3 IPS |
|
|
Face Detection (HP)
|
100% |
23002
273.3 IPS |
|
|
Face Detection (Q)
|
97% |
18851
224.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
64025
493.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94778
730.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
51138
408.4 IPS |
|
|
Style Transfer (SP)
|
100% |
257975
331.6 IPS |
|
|
Style Transfer (HP)
|
100% |
530229
681.6 IPS |
|
|
Style Transfer (Q)
|
98% |
232893
300.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32848
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40141
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27308
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1392
26.1 IPS |
