Mac17,2
Geekbench AI Score
5335
Single Precision Score
41430
Half Precision Score
58943
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Kingtona123 |
| Upload Date | February 24 2026 11:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
18469
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
25802
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24131
391.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32652
529.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11327
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176296
205.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332144
389.3 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
18051
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26601
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47815
568.1 IPS |
|
|
Face Detection (Q)
|
100% |
66408
789.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9119
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110592
852.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
190416
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
27562
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270748
348.1 IPS |
|
|
Style Transfer (Q)
|
96% |
372170
480.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63094
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101212
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
7459
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18237
314.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19142
330.8 IPS |
