Mac17,2
Geekbench AI Score
5351
Single Precision Score
8736
Half Precision Score
6929
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.5 IPS |
|
|
Image Classification (Q)
|
96% |
2549
475.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11327
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20745
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17891
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2964
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8604
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4864
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9197
70.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15301
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10619
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27300
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41470
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33990
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5180
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9364
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9496
164.1 IPS |
