Mac17,5
Geekbench AI Score
5111
Single Precision Score
5673
Half Precision Score
6154
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 10 2026 02:20 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 2.68 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (Q)
|
96% |
3196
596.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4319
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4127
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11924
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13828
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13906
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
91% |
3280
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
7883
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
10198
121.2 IPS |
|
|
Face Detection (Q)
|
100% |
9673
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11840
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13502
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12733
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28021
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32637
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32249
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6534
241.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5951
219.7 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2525
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3123
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1757
30.4 IPS |
