Mac17,5
Geekbench AI Score
4882
Single Precision Score
33390
Half Precision Score
45200
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | March 31 2026 06:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
13714
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
18643
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18255
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23947
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9475
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150245
175.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292798
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
15806
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21389
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
4067
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
41016
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
57422
682.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93905
723.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
147668
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
23031
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244829
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
293641
378.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51471
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76029
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6212
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9612
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10600
183.2 IPS |
