Mac17,2
Geekbench AI Score
13172
Single Precision Score
24557
Half Precision Score
23617
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:04 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6301
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10739
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
9906
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10214
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16698
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17260
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39591
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102979
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
111712
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
11848
939.8 IPS |
|
|
Object Detection (Q)
|
93% |
10061
802.6 IPS |
|
|
Face Detection (SP)
|
100% |
18533
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
34161
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
26948
320.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28801
221.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56317
433.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
53043
414.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81883
105.3 IPS |
|
|
Style Transfer (HP)
|
100% |
192408
247.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210727
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16170
597.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32956
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30814
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6316
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5495
94.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5496
95.0 IPS |
