Mac17,4
Geekbench AI Score
13228
Single Precision Score
23684
Half Precision Score
24644
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 08 2026 10:33 AM |
| Views | 10 |
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% |
6061
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10334
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10239
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14882
241.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15938
258.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36825
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
88671
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117465
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
11031
874.9 IPS |
|
|
Object Detection (Q)
|
94% |
11482
915.6 IPS |
|
|
Face Detection (SP)
|
100% |
18867
224.2 IPS |
|
|
Face Detection (HP)
|
100% |
34942
415.2 IPS |
|
|
Face Detection (Q)
|
100% |
31232
371.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27146
209.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49322
380.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52092
406.7 IPS |
|
|
Style Transfer (SP)
|
100% |
76635
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162751
209.2 IPS |
|
|
Style Transfer (Q)
|
96% |
206304
266.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15428
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29725
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28388
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6817
117.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8087
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7252
125.3 IPS |
