MacBook Pro (14-inch, 2023)
Geekbench AI Score
4140
Single Precision Score
27063
Half Precision Score
30106
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 11:36 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14077
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
16797
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19451
315.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24429
396.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13026
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106235
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104226
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
99% |
15398
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16669
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
35704
424.2 IPS |
|
|
Face Detection (Q)
|
100% |
45322
538.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6329
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87689
675.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108800
850.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24976
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203386
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189719
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41178
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49350
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4484
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4660
80.5 IPS |
