Mac17,2
Geekbench AI Score
13406
Single Precision Score
24277
Half Precision Score
23391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | October 26 2025 03:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5903
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
9625
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
8769
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10223
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16680
270.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17247
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39571
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103229
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111034
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
6371
505.3 IPS |
|
|
Object Detection (HP)
|
100% |
11381
902.8 IPS |
|
|
Object Detection (Q)
|
93% |
9727
776.0 IPS |
|
|
Face Detection (SP)
|
100% |
18468
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
33889
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
26437
314.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28371
218.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
54938
423.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52956
413.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81823
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
188319
242.1 IPS |
|
|
Style Transfer (Q)
|
96% |
209447
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16046
592.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30367
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28621
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5998
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6486
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6608
114.2 IPS |
