Mac17,5
Geekbench AI Score
4870
Single Precision Score
8086
Half Precision Score
6416
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | March 21 2026 02:11 PM |
| Views | 4 |
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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3457
643.0 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9561
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18298
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15656
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3917
311.8 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14094
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9669
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23127
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38311
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31158
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5099
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6300
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6258
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8606
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8668
149.8 IPS |
