Mac17,2
Geekbench AI Score
5317
Single Precision Score
41328
Half Precision Score
57659
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
18582
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24369
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23843
386.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32761
531.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10937
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177006
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
332571
389.8 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
17924
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26367
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
47036
558.9 IPS |
|
|
Face Detection (Q)
|
100% |
66795
793.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111181
856.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180568
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27450
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271072
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374020
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63675
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101297
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6840
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17694
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18564
320.8 IPS |
