MacBook Pro (16-inch, 2023)
Geekbench AI Score
4254
Single Precision Score
27755
Half Precision Score
31217
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | January 08 2025 11:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
15386
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
18451
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20121
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24962
404.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12917
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
108096
126.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106789
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
99% |
16676
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
18455
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
35733
424.6 IPS |
|
|
Face Detection (Q)
|
100% |
47527
564.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6423
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
89385
688.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112652
880.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25063
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208340
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
198106
255.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43642
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52487
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4302
74.3 IPS |
