Apple Inc. MacBookPro16,1
Geekbench AI Score
17367
Single Precision Score
23548
Half Precision Score
14639
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | November 29 2025 04:14 PM |
| Views | 11 |
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% |
6539
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7618
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
6118
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7932
128.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8659
140.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7562
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
147978
172.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
398349
464.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
135403
158.6 IPS |
|
|
Object Detection (SP)
|
100% |
7919
628.1 IPS |
|
|
Object Detection (HP)
|
100% |
9650
765.5 IPS |
|
|
Object Detection (Q)
|
86% |
7240
581.7 IPS |
|
|
Face Detection (SP)
|
100% |
19813
235.4 IPS |
|
|
Face Detection (HP)
|
100% |
22231
264.2 IPS |
|
|
Face Detection (Q)
|
97% |
18320
218.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
62750
483.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
92193
710.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
49951
398.9 IPS |
|
|
Style Transfer (SP)
|
100% |
243829
313.4 IPS |
|
|
Style Transfer (HP)
|
100% |
503863
647.7 IPS |
|
|
Style Transfer (Q)
|
98% |
211116
272.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30695
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39219
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25324
937.7 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1422
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1433
26.9 IPS |
