Mac17,2
Geekbench AI Score
13217
Single Precision Score
24787
Half Precision Score
23638
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 01:06 AM |
| Views | 3 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6325
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11225
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
10010
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10221
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16728
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17247
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39616
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103111
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111719
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6455
512.0 IPS |
|
|
Object Detection (HP)
|
100% |
11808
936.6 IPS |
|
|
Object Detection (Q)
|
93% |
9996
797.5 IPS |
|
|
Face Detection (SP)
|
100% |
18547
220.4 IPS |
|
|
Face Detection (HP)
|
100% |
34062
404.7 IPS |
|
|
Face Detection (Q)
|
100% |
26720
317.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28546
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56079
432.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
53038
414.1 IPS |
|
|
Style Transfer (SP)
|
100% |
82287
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
190292
244.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211461
272.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16249
600.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33024
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30219
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6366
109.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5557
96.0 IPS |
