Apple Inc. MacBookPro14,1
Geekbench AI Score
738
Single Precision Score
738
Half Precision Score
391
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 16 2025 12:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7360U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Apple Inc. MacBookPro14,1 |
| Motherboard | Apple Inc. Mac-B4831CEBD52A0C4C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7360U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
99% |
238
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
284
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
581
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
85% |
253
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
571
6.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
933
7.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
931
7.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
522
4.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1254
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1302
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.7 IPS |
|
|
Text Classification (HP)
|
100% |
707
943.2 IPS |
|
|
Text Classification (Q)
|
92% |
257
345.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
58% |
241
5.66 IPS |
