Mac17,2
Geekbench AI Score
5296
Single Precision Score
8575
Half Precision Score
6831
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 04:09 AM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
3640
676.9 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3840
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20786
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17819
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2963
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4785
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9122
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15213
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10573
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27360
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41289
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33754
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9423
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9410
162.6 IPS |
