Mac17,5
Geekbench AI Score
5986
Single Precision Score
7370
Half Precision Score
7367
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | March 13 2026 07:46 PM |
| Views | 6 |
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% |
3284
610.7 IPS |
|
|
Image Classification (HP)
|
100% |
3519
654.5 IPS |
|
|
Image Classification (Q)
|
96% |
3388
632.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4386
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14062
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15763
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15318
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3315
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3805
301.8 IPS |
|
|
Object Detection (Q)
|
91% |
3624
289.6 IPS |
|
|
Face Detection (SP)
|
100% |
8174
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
10635
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
10772
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12475
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13808
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12082
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30971
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35748
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35361
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7377
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6618
244.4 IPS |
|
|
Text Classification (SP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6284
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6262
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2997
51.8 IPS |
