Mac17,2
Geekbench AI Score
13172
Single Precision Score
24661
Half Precision Score
23665
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:07 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% |
6310
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11098
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9960
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10257
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16705
270.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17269
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39600
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103378
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111578
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6466
512.9 IPS |
|
|
Object Detection (HP)
|
100% |
11803
936.2 IPS |
|
|
Object Detection (Q)
|
93% |
10119
807.3 IPS |
|
|
Face Detection (SP)
|
100% |
18533
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
34090
405.1 IPS |
|
|
Face Detection (Q)
|
100% |
26974
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28481
219.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56388
434.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
52914
413.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81918
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
190720
245.2 IPS |
|
|
Style Transfer (Q)
|
96% |
209445
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16051
592.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32787
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30645
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6330
109.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5507
95.2 IPS |
