Apple Inc. MacBookPro16,1
Geekbench AI Score
18568
Single Precision Score
24602
Half Precision Score
15741
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | January 01 2026 04:11 PM |
| Views | 6 |
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% |
6949
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6428
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8242
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8946
145.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7878
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
191837
223.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
405882
473.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
166629
195.2 IPS |
|
|
Object Detection (SP)
|
100% |
8609
682.9 IPS |
|
|
Object Detection (HP)
|
100% |
10148
805.0 IPS |
|
|
Object Detection (Q)
|
86% |
7896
634.4 IPS |
|
|
Face Detection (SP)
|
100% |
21095
250.6 IPS |
|
|
Face Detection (HP)
|
100% |
23740
282.1 IPS |
|
|
Face Detection (Q)
|
97% |
19029
226.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65981
508.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101638
783.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
51645
412.4 IPS |
|
|
Style Transfer (SP)
|
100% |
263391
338.6 IPS |
|
|
Style Transfer (HP)
|
100% |
549030
705.8 IPS |
|
|
Style Transfer (Q)
|
98% |
231760
298.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35431
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43467
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28973
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1431
26.8 IPS |
