Mac17,2
Geekbench AI Score
12070
Single Precision Score
22352
Half Precision Score
21832
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 02:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6035
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10341
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9213
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8923
144.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14755
239.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15309
248.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31782
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
84748
98.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
88217
103.4 IPS |
|
|
Object Detection (SP)
|
100% |
5318
421.8 IPS |
|
|
Object Detection (HP)
|
100% |
8056
639.0 IPS |
|
|
Object Detection (Q)
|
93% |
8712
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
16207
192.6 IPS |
|
|
Face Detection (HP)
|
100% |
30396
361.2 IPS |
|
|
Face Detection (Q)
|
100% |
23564
280.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24867
191.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48442
373.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
47655
372.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68095
87.5 IPS |
|
|
Style Transfer (HP)
|
100% |
161037
207.0 IPS |
|
|
Style Transfer (Q)
|
96% |
184299
237.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15108
557.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29001
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26760
988.1 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7234
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7127
123.2 IPS |
