Apple Inc. MacBookPro16,1
Geekbench AI Score
3604
Single Precision Score
3624
Half Precision Score
5061
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 14 2025 10:18 AM |
| Views | 3 |
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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (Q)
|
100% |
3697
687.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2526
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3840
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4720
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
8875
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2232
177.0 IPS |
|
|
Object Detection (Q)
|
87% |
3427
274.9 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (Q)
|
97% |
9317
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6066
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6094
46.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9395
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13608
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13995
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25177
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2850
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5309
196.7 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2907
50.1 IPS |
