Apple Inc. MacBookPro16,1
Geekbench AI Score
17850
Single Precision Score
24173
Half Precision Score
14910
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | June 24 2025 02:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
6838
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
8039
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6448
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7921
128.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8790
142.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7588
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
149613
174.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
396204
462.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
136424
159.8 IPS |
|
|
Object Detection (SP)
|
100% |
8138
645.5 IPS |
|
|
Object Detection (HP)
|
100% |
9867
782.7 IPS |
|
|
Object Detection (Q)
|
86% |
7319
588.1 IPS |
|
|
Face Detection (SP)
|
100% |
19948
237.0 IPS |
|
|
Face Detection (HP)
|
100% |
22328
265.3 IPS |
|
|
Face Detection (Q)
|
97% |
18470
220.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64172
494.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
90970
700.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
50717
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
250596
322.1 IPS |
|
|
Style Transfer (HP)
|
100% |
516488
664.0 IPS |
|
|
Style Transfer (Q)
|
98% |
214208
276.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31510
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43279
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25922
959.9 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1412
26.5 IPS |
