MacBook Pro (16-inch, 2023)
Geekbench AI Score
4176
Single Precision Score
6767
Half Precision Score
5296
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 29 2024 01:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.8 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2606
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2907
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12633
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24286
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19660
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5885
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3366
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6291
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12162
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8101
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25056
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38781
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29324
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4497
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6424
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6390
110.4 IPS |
