Mac17,2
Geekbench AI Score
5343
Single Precision Score
8678
Half Precision Score
6918
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Fyrpm |
| Upload Date | December 16 2025 10:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.6 IPS |
|
|
Image Classification (Q)
|
96% |
2536
473.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20788
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17856
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
97% |
4239
337.4 IPS |
|
|
Object Detection (Q)
|
94% |
2964
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4846
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15324
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10606
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27539
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41372
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33979
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5203
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9433
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9419
162.8 IPS |
