Mac17,2
Geekbench AI Score
13659
Single Precision Score
25544
Half Precision Score
24435
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:37 AM |
| Views | 4 |
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% |
6303
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10781
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
9791
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10178
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16845
273.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17265
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
38997
45.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
102222
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111362
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6425
509.7 IPS |
|
|
Object Detection (HP)
|
100% |
11536
915.1 IPS |
|
|
Object Detection (Q)
|
93% |
9986
796.7 IPS |
|
|
Face Detection (SP)
|
100% |
18657
221.7 IPS |
|
|
Face Detection (HP)
|
100% |
34044
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
26837
318.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28848
222.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56410
434.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
53349
416.5 IPS |
|
|
Style Transfer (SP)
|
100% |
82073
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
193304
248.5 IPS |
|
|
Style Transfer (Q)
|
96% |
211569
273.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16638
614.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33173
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30271
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5640
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6336
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7953
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7897
136.5 IPS |
