Mac17,5
Geekbench AI Score
7456
Single Precision Score
8753
Half Precision Score
7761
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 31 2026 04:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
3330
619.3 IPS |
|
|
Image Classification (HP)
|
100% |
3540
658.4 IPS |
|
|
Image Classification (Q)
|
96% |
3428
640.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4101
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4400
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14115
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16090
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15705
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3329
264.1 IPS |
|
|
Object Detection (HP)
|
100% |
3806
301.9 IPS |
|
|
Object Detection (Q)
|
91% |
3649
291.6 IPS |
|
|
Face Detection (SP)
|
100% |
9009
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
11735
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
10814
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12820
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14151
109.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13435
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31397
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36125
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
35626
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7399
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6743
249.0 IPS |
|
|
Text Classification (SP)
|
99% |
6911
9.22 KIPS |
|
|
Text Classification (HP)
|
100% |
10583
14.1 KIPS |
|
|
Text Classification (Q)
|
93% |
10445
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5672
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2517
43.5 IPS |
