Mac17,5
Geekbench AI Score
7088
Single Precision Score
8309
Half Precision Score
7341
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | March 21 2026 02:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3368
626.3 IPS |
|
|
Image Classification (HP)
|
100% |
3544
659.0 IPS |
|
|
Image Classification (Q)
|
96% |
3410
636.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4450
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14341
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16093
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15743
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3828
303.7 IPS |
|
|
Object Detection (Q)
|
91% |
3653
291.9 IPS |
|
|
Face Detection (SP)
|
100% |
9084
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
11739
139.5 IPS |
|
|
Face Detection (Q)
|
100% |
10813
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12924
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14158
109.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13443
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31735
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36797
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36152
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7312
270.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7435
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6698
247.3 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6276
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5658
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2453
42.4 IPS |
