Mac17,2
Geekbench AI Score
13474
Single Precision Score
25185
Half Precision Score
24102
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 03:08 PM |
| 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 | 4.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6195
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10665
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
9770
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10162
164.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16756
271.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17227
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39246
45.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
102169
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
110656
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
6394
507.2 IPS |
|
|
Object Detection (HP)
|
100% |
11586
919.0 IPS |
|
|
Object Detection (Q)
|
93% |
9798
781.7 IPS |
|
|
Face Detection (SP)
|
100% |
17953
213.3 IPS |
|
|
Face Detection (HP)
|
100% |
33498
398.0 IPS |
|
|
Face Detection (Q)
|
100% |
26194
311.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28405
218.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55297
426.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52674
411.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81487
104.8 IPS |
|
|
Style Transfer (HP)
|
100% |
188942
242.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210747
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16447
607.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33148
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29563
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6182
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7545
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7588
131.1 IPS |
