Mac17,2
Geekbench AI Score
13657
Single Precision Score
25646
Half Precision Score
24430
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | m3the01 |
| Upload Date | December 12 2025 06:33 PM |
| Views | 24 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11134
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9931
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10224
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16679
270.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17239
279.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39641
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103334
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111296
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
6459
512.3 IPS |
|
|
Object Detection (HP)
|
100% |
11781
934.5 IPS |
|
|
Object Detection (Q)
|
93% |
9984
796.5 IPS |
|
|
Face Detection (SP)
|
100% |
18452
219.2 IPS |
|
|
Face Detection (HP)
|
100% |
34050
404.6 IPS |
|
|
Face Detection (Q)
|
100% |
26720
317.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28592
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55831
430.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
53180
415.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81903
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
190110
244.4 IPS |
|
|
Style Transfer (Q)
|
96% |
209658
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16251
600.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33326
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30137
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6319
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7914
136.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7939
137.2 IPS |
