Mac17,5
Geekbench AI Score
7151
Single Precision Score
8324
Half Precision Score
8034
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | leonardobandini |
| Upload Date | April 22 2026 06:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 4.01 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.3 IPS |
|
|
Image Classification (Q)
|
96% |
3557
664.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4285
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12793
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13565
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14193
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
3087
244.9 IPS |
|
|
Object Detection (HP)
|
100% |
3548
281.4 IPS |
|
|
Object Detection (Q)
|
91% |
3519
281.2 IPS |
|
|
Face Detection (SP)
|
100% |
8559
101.7 IPS |
|
|
Face Detection (HP)
|
100% |
11603
137.9 IPS |
|
|
Face Detection (Q)
|
100% |
10664
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12459
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13694
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13437
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30390
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31825
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34643
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7468
275.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6784
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
6254
8.35 KIPS |
|
|
Text Classification (HP)
|
100% |
10200
13.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10843
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4031
69.7 IPS |
