Mac17,5
Geekbench AI Score
6916
Single Precision Score
8247
Half Precision Score
7446
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | March 13 2026 07:43 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% |
3286
611.1 IPS |
|
|
Image Classification (HP)
|
100% |
3618
672.8 IPS |
|
|
Image Classification (Q)
|
96% |
3405
635.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4446
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4254
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13957
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15349
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
3783
300.1 IPS |
|
|
Object Detection (Q)
|
91% |
3638
290.7 IPS |
|
|
Face Detection (SP)
|
100% |
8952
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
11711
139.2 IPS |
|
|
Face Detection (Q)
|
100% |
10755
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12710
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14069
108.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13371
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29815
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35926
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35493
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7405
273.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6650
245.6 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6281
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6233
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5533
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
