Mac17,5
Geekbench AI Score
3408
Single Precision Score
29644
Half Precision Score
40482
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 10 2026 02:11 PM |
| Views | 22 |
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% |
1946
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
13996
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18665
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18091
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23880
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
108706
126.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
212964
249.6 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
13987
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
16700
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2302
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
31556
374.9 IPS |
|
|
Face Detection (Q)
|
100% |
43850
521.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4389
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73617
567.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125386
980.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9924
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202734
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296321
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4262
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48646
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75098
2.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9410
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9593
165.8 IPS |
