Apple Inc. MacBookPro16,1
Geekbench AI Score
3098
Single Precision Score
3051
Half Precision Score
4380
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | June 24 2025 02:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz |
| 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% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (Q)
|
100% |
3048
566.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4167
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
7558
8.86 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (Q)
|
87% |
3073
246.5 IPS |
|
|
Face Detection (SP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
8367
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4589
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4771
36.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7773
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11293
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10813
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23149
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4199
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (Q)
|
91% |
632
848.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2602
44.8 IPS |
