Mac17,4
Geekbench AI Score
13336
Single Precision Score
23910
Half Precision Score
25200
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skinsfantn |
| Upload Date | March 12 2026 02:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10212
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
10311
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9906
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15284
247.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15902
257.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36777
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
88669
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117645
137.9 IPS |
|
|
Object Detection (SP)
|
100% |
6320
501.3 IPS |
|
|
Object Detection (HP)
|
100% |
11134
883.1 IPS |
|
|
Object Detection (Q)
|
94% |
11651
929.0 IPS |
|
|
Face Detection (SP)
|
100% |
18504
219.9 IPS |
|
|
Face Detection (HP)
|
100% |
34382
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
33398
396.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27396
211.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50193
386.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
54851
428.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77664
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162028
208.3 IPS |
|
|
Style Transfer (Q)
|
96% |
204578
264.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15219
562.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29346
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28067
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6973
120.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8609
148.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7791
134.6 IPS |
