Mac17,2
Geekbench AI Score
13037
Single Precision Score
24416
Half Precision Score
23236
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 04:20 AM |
| Views | 1 |
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 | 4.52 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6188
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10814
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9769
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10024
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16570
268.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17021
275.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39065
45.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102145
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
109482
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
6369
505.2 IPS |
|
|
Object Detection (HP)
|
100% |
11577
918.3 IPS |
|
|
Object Detection (Q)
|
93% |
9797
781.6 IPS |
|
|
Face Detection (SP)
|
100% |
17603
209.2 IPS |
|
|
Face Detection (HP)
|
100% |
32913
391.1 IPS |
|
|
Face Detection (Q)
|
100% |
25524
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28454
219.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55051
424.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
51864
404.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81388
104.6 IPS |
|
|
Style Transfer (HP)
|
100% |
189284
243.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210134
271.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16341
603.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33072
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29550
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6270
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5491
94.9 IPS |
