iPhone17,2
Geekbench AI Score
2669
Single Precision Score
19960
Half Precision Score
24664
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
11082
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
11528
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9549
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13781
223.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3675
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
79569
92.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
145012
170.0 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
10913
865.6 IPS |
|
|
Object Detection (Q)
|
91% |
11736
937.8 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
23562
280.0 IPS |
|
|
Face Detection (Q)
|
100% |
33451
397.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4679
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47570
366.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
80273
627.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12572
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
123995
159.4 IPS |
|
|
Style Transfer (Q)
|
96% |
162580
209.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34487
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55697
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2415
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7916
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5248
90.7 IPS |
