MacN17,5 Mac17,5
Geekbench AI Score
6990
Single Precision Score
8314
Half Precision Score
7901
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 11 2026 02:54 PM |
| Views | 8 |
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% |
3341
621.2 IPS |
|
|
Image Classification (HP)
|
100% |
3564
662.7 IPS |
|
|
Image Classification (Q)
|
96% |
3416
637.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4397
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14260
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16243
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15905
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (HP)
|
100% |
3803
301.7 IPS |
|
|
Object Detection (Q)
|
91% |
3627
289.8 IPS |
|
|
Face Detection (SP)
|
100% |
8790
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
11690
138.9 IPS |
|
|
Face Detection (Q)
|
100% |
10797
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12756
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14104
108.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13359
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31459
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36407
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35859
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7216
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6614
244.2 IPS |
|
|
Text Classification (SP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6304
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6226
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5143
88.9 IPS |
