Mac17,5
Geekbench AI Score
4892
Single Precision Score
33219
Half Precision Score
45307
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 11:32 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 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% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
13218
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
18671
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18488
299.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24069
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9367
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
151841
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294112
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
15505
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21020
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
40781
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
57518
683.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96227
741.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
151221
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22890
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244492
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294071
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50386
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79269
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9535
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10524
181.9 IPS |
