Mac17,2
Geekbench AI Score
13609
Single Precision Score
25581
Half Precision Score
24379
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11067
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9808
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10208
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16719
271.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17224
279.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39359
45.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
102668
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
111601
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6450
511.7 IPS |
|
|
Object Detection (HP)
|
100% |
11786
934.9 IPS |
|
|
Object Detection (Q)
|
93% |
10059
802.4 IPS |
|
|
Face Detection (SP)
|
100% |
18518
220.0 IPS |
|
|
Face Detection (HP)
|
100% |
34105
405.2 IPS |
|
|
Face Detection (Q)
|
100% |
26669
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28548
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55987
431.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
53200
415.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82047
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191100
245.7 IPS |
|
|
Style Transfer (Q)
|
96% |
209961
271.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16217
598.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33147
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30146
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6305
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7912
136.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7902
136.6 IPS |
