Mac17,5
Geekbench AI Score
3825
Single Precision Score
30602
Half Precision Score
42636
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 01:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1732
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
13891
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
20180
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17477
283.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23762
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7902
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
136357
159.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
270396
316.9 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
15811
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21754
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41252
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
58590
696.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7752
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93056
716.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
155280
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20538
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203416
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294214
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47520
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79956
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3982
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3192
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9314
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10304
178.1 IPS |
