Apple Inc. MacBookPro16,1
Geekbench AI Score
2579
Single Precision Score
1006
Half Precision Score
3237
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 14 2025 10:12 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
96% |
3229
603.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
1779
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4294
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
7979
9.43 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
2070
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5172
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6957
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10794
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8237
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11415
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2149
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.5 IPS |
|
|
Text Classification (Q)
|
97% |
936
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
68% |
1612
31.1 IPS |
