Mac17,4
Geekbench AI Score
14400
Single Precision Score
25717
Half Precision Score
27065
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | djoneverett |
| Upload Date | April 07 2026 06:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6081
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10355
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
10515
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9984
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15543
252.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16527
267.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37581
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90675
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118917
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
6372
505.4 IPS |
|
|
Object Detection (HP)
|
100% |
11213
889.5 IPS |
|
|
Object Detection (Q)
|
94% |
11846
944.5 IPS |
|
|
Face Detection (SP)
|
100% |
19163
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
35271
419.1 IPS |
|
|
Face Detection (Q)
|
100% |
33996
404.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27664
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52499
404.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
56258
439.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78372
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164493
211.5 IPS |
|
|
Style Transfer (Q)
|
96% |
207778
268.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15396
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30924
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29290
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (HP)
|
100% |
9797
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9724
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
6938
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8382
144.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7612
131.5 IPS |
