Mac17,2
Geekbench AI Score
13567
Single Precision Score
25443
Half Precision Score
24277
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 2muchpower |
| Upload Date | November 24 2025 08:58 PM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6275
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10783
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9609
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10133
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16738
271.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17188
278.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39433
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102731
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
111579
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6422
509.4 IPS |
|
|
Object Detection (HP)
|
100% |
11689
927.2 IPS |
|
|
Object Detection (Q)
|
93% |
9991
797.1 IPS |
|
|
Face Detection (SP)
|
100% |
17982
213.7 IPS |
|
|
Face Detection (HP)
|
100% |
33567
398.9 IPS |
|
|
Face Detection (Q)
|
100% |
26507
315.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28489
219.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55595
428.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52487
409.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80985
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
189728
243.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210264
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16633
614.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33459
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30005
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6283
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7859
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7856
135.8 IPS |
