Mac17,2
Geekbench AI Score
11020
Single Precision Score
19843
Half Precision Score
20361
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 09:11 AM |
| Views | 1 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6180
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10551
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
9403
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10063
163.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16605
269.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17008
275.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34866
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
94306
110.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
109471
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
6358
504.3 IPS |
|
|
Object Detection (HP)
|
100% |
6925
549.3 IPS |
|
|
Object Detection (Q)
|
93% |
5850
466.7 IPS |
|
|
Face Detection (SP)
|
100% |
11462
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
10181
121.0 IPS |
|
|
Face Detection (Q)
|
100% |
14944
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16560
127.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32282
248.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
31210
243.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59065
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
187443
241.0 IPS |
|
|
Style Transfer (Q)
|
96% |
207054
267.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10534
389.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32863
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29004
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7040
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7456
128.9 IPS |
