Mac17,2
Geekbench AI Score
13272
Single Precision Score
24871
Half Precision Score
23675
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ChiWah |
| Upload Date | October 24 2025 11:19 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11324
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
9992
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10257
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16775
271.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17262
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39554
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103412
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111553
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
6454
511.9 IPS |
|
|
Object Detection (HP)
|
100% |
11738
931.0 IPS |
|
|
Object Detection (Q)
|
93% |
10012
798.7 IPS |
|
|
Face Detection (SP)
|
100% |
18472
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
34178
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
26689
317.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28629
220.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56187
432.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
53186
415.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81898
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
192119
247.0 IPS |
|
|
Style Transfer (Q)
|
96% |
212629
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16289
601.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33355
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30480
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6384
110.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5568
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5559
96.1 IPS |
