Mac17,2
Geekbench AI Score
13240
Single Precision Score
24802
Half Precision Score
23646
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 01:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
6319
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11206
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
9817
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10251
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16729
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17281
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39589
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103227
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111777
131.0 IPS |
|
|
Object Detection (SP)
|
100% |
6455
512.0 IPS |
|
|
Object Detection (HP)
|
100% |
11800
936.0 IPS |
|
|
Object Detection (Q)
|
93% |
10013
798.8 IPS |
|
|
Face Detection (SP)
|
100% |
18482
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
34138
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
26582
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28550
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55843
430.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
53072
414.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81802
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
191186
245.8 IPS |
|
|
Style Transfer (Q)
|
96% |
211896
273.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16492
609.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33408
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30262
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5739
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6369
109.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5545
95.8 IPS |
