Mac17,5
Geekbench AI Score
4274
Single Precision Score
7087
Half Precision Score
5803
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 01:27 AM |
| Views | 10 |
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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (Q)
|
96% |
2106
393.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3076
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7707
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14985
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13114
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3542
282.0 IPS |
|
|
Object Detection (Q)
|
94% |
2490
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12068
93.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8740
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18364
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34618
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28787
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4729
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6273
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8022
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7710
133.2 IPS |
