Mac17,2
Geekbench AI Score
13176
Single Precision Score
24761
Half Precision Score
23508
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 05:56 AM |
| Views | 2 |
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% |
6325
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11283
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
9920
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10272
166.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16766
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17249
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39638
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103238
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111669
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6449
511.5 IPS |
|
|
Object Detection (HP)
|
100% |
11809
936.7 IPS |
|
|
Object Detection (Q)
|
93% |
10029
800.1 IPS |
|
|
Face Detection (SP)
|
100% |
18495
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
34044
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
26652
316.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28553
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55852
430.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
53314
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81766
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
190822
245.3 IPS |
|
|
Style Transfer (Q)
|
96% |
209830
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16164
596.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33245
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30127
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5571
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5526
95.5 IPS |
