Mac17,5
Geekbench AI Score
4183
Single Precision Score
32689
Half Precision Score
44155
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 16 2026 04:01 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
14390
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
19394
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23757
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7696
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
132925
155.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
268217
314.4 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
15713
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21084
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
40366
479.6 IPS |
|
|
Face Detection (Q)
|
100% |
57760
686.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6755
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92158
710.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
149380
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
18614
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235717
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
291662
376.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4418
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49666
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
70882
2.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6247
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5755
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9395
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10533
182.0 IPS |
