Apple Inc. MacBookPro16,1
Geekbench AI Score
15181
Single Precision Score
19258
Half Precision Score
12965
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | May 20 2025 04:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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% |
5567
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
6950
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
5249
976.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7359
119.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8082
131.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7096
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
131729
153.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
248869
290.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
117312
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
6781
537.9 IPS |
|
|
Object Detection (HP)
|
100% |
8415
667.5 IPS |
|
|
Object Detection (Q)
|
85% |
6205
499.5 IPS |
|
|
Face Detection (SP)
|
100% |
16900
200.8 IPS |
|
|
Face Detection (HP)
|
100% |
19272
229.0 IPS |
|
|
Face Detection (Q)
|
97% |
15631
186.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
50933
392.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71862
553.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
41692
332.9 IPS |
|
|
Style Transfer (SP)
|
100% |
211569
272.0 IPS |
|
|
Style Transfer (HP)
|
100% |
359030
461.5 IPS |
|
|
Style Transfer (Q)
|
98% |
188782
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28179
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30777
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22608
837.1 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1954
2.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1312
24.6 IPS |
