Mac17,2
Geekbench AI Score
12401
Single Precision Score
23669
Half Precision Score
21847
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 11:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
5816
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
10099
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8891
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10117
164.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16700
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17242
279.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39502
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102609
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
129266
151.5 IPS |
|
|
Object Detection (SP)
|
100% |
6440
510.8 IPS |
|
|
Object Detection (HP)
|
100% |
11563
917.2 IPS |
|
|
Object Detection (Q)
|
92% |
10274
820.4 IPS |
|
|
Face Detection (SP)
|
100% |
18535
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
35894
426.5 IPS |
|
|
Face Detection (Q)
|
100% |
27393
325.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28345
218.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55494
427.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
54261
423.4 IPS |
|
|
Style Transfer (SP)
|
100% |
80280
103.2 IPS |
|
|
Style Transfer (HP)
|
100% |
187050
240.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218649
282.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15716
580.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31002
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28364
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2392
41.3 IPS |
