Mac17,5
Geekbench AI Score
4672
Single Precision Score
7729
Half Precision Score
6146
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 11 2026 02:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.2 (Build 25D2140) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
3456
642.6 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3202
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8737
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16331
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14576
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4029
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7890
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12723
98.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9286
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21600
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37336
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27170
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5455
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4939
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6260
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6317
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8668
149.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8528
147.4 IPS |
