Apple Inc. MacBookPro15,2
Geekbench AI Score
2207
Single Precision Score
3008
Half Precision Score
2774
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 09:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics 655 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
100% |
1884
350.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4047
4.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
4106
4.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
6050
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
1802
143.3 IPS |
|
|
Object Detection (Q)
|
88% |
1780
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
97% |
5341
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3941
30.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6315
48.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5677
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11538
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13967
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12686
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3218
119.2 IPS |
|
|
Text Classification (SP)
|
71% |
681
984.7 IPS |
|
|
Text Classification (HP)
|
71% |
774
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
537
721.3 IPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
97% |
885
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
877
15.1 IPS |
