Mac17,3
Geekbench AI Score
5503
Single Precision Score
42245
Half Precision Score
59534
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 19 2026 06:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| Model | Mac17,3 |
| Model ID | Mac17,3 |
| Motherboard | Mac17,3 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (HP)
|
100% |
18327
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
26456
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24316
394.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
35557
576.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9811
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
177287
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
334215
391.7 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
18267
1.45 KIPS |
|
|
Object Detection (Q)
|
89% |
27505
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
5079
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
48955
581.7 IPS |
|
|
Face Detection (Q)
|
100% |
75695
899.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8798
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112821
869.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
189466
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
25043
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
274210
352.5 IPS |
|
|
Style Transfer (Q)
|
96% |
346908
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65199
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100655
3.72 KIPS |
|
|
Text Classification (SP)
|
99% |
6049
8.07 KIPS |
|
|
Text Classification (HP)
|
100% |
7082
9.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6931
9.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5127
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17941
309.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18637
322.1 IPS |
