Mac17,2
Geekbench AI Score
13638
Single Precision Score
25552
Half Precision Score
24428
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:28 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% |
6281
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11114
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9894
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10194
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16816
272.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17250
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39594
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103115
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111688
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6445
511.2 IPS |
|
|
Object Detection (HP)
|
100% |
11729
930.4 IPS |
|
|
Object Detection (Q)
|
93% |
10087
804.7 IPS |
|
|
Face Detection (SP)
|
100% |
18454
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
34090
405.1 IPS |
|
|
Face Detection (Q)
|
100% |
26547
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28569
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55748
429.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
53204
415.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81680
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
191089
245.6 IPS |
|
|
Style Transfer (Q)
|
96% |
210494
271.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16320
602.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33008
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30020
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6304
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7890
135.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7854
135.7 IPS |
