Apple Inc. MacBookPro11,5
Geekbench AI Score
1025
Single Precision Score
1025
Half Precision Score
605
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ohoel |
| Upload Date | February 01 2025 04:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4980HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | Apple Inc. MacBookPro11,5 |
| Motherboard | Apple Inc. Mac-06F11F11946D27C5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4980HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (Q)
|
99% |
426
79.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
964
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
85% |
434
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
957
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.66 IPS |
|
|
Depth Estimation (Q)
|
63% |
803
7.53 IPS |
|
|
Style Transfer (SP)
|
100% |
1453
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1439
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1910
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
526
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
331
444.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
58% |
309
7.26 IPS |
