Mac17,2
Geekbench AI Score
13172
Single Precision Score
24682
Half Precision Score
23672
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 04:17 AM |
| Views | 65 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10798
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9966
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10183
165.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16735
271.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17268
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39471
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103288
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111641
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6451
511.7 IPS |
|
|
Object Detection (HP)
|
100% |
11859
940.7 IPS |
|
|
Object Detection (Q)
|
93% |
10098
805.6 IPS |
|
|
Face Detection (SP)
|
100% |
18495
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
34131
405.5 IPS |
|
|
Face Detection (Q)
|
100% |
26545
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28537
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55892
430.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
53152
415.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81636
104.9 IPS |
|
|
Style Transfer (HP)
|
100% |
191163
245.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210218
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16203
598.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33092
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30461
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5665
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5559
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5566
96.2 IPS |
