Apple Inc. MacBookPro14,1 (root) Apple Inc. MacBookPro14,1
Geekbench AI Score
735
Single Precision Score
733
Half Precision Score
392
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 27 2025 08:54 AM |
| Views | 15 |
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
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (Q)
|
99% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
285
4.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
581
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
85% |
254
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
574
6.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
901
6.94 IPS |
|
|
Depth Estimation (Q)
|
63% |
526
4.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1226
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1238
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1293
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
352
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.5 IPS |
|
|
Text Classification (HP)
|
100% |
707
943.5 IPS |
|
|
Text Classification (Q)
|
92% |
256
344.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
58% |
245
5.76 IPS |
