MacBook Pro (16-inch, 2023)
Geekbench AI Score
10659
Single Precision Score
11722
Half Precision Score
10379
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ajoe04 |
| Upload Date | December 26 2024 02:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5279
981.8 IPS |
|
|
Image Classification (HP)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4645
866.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8058
130.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8156
132.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8047
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45012
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47519
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44237
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5128
406.7 IPS |
|
|
Object Detection (HP)
|
100% |
5111
405.4 IPS |
|
|
Object Detection (Q)
|
91% |
4335
346.4 IPS |
|
|
Face Detection (SP)
|
100% |
18105
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
19239
228.6 IPS |
|
|
Face Detection (Q)
|
100% |
13769
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26013
200.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26839
206.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22520
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79794
102.6 IPS |
|
|
Style Transfer (HP)
|
100% |
85528
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
79779
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17543
647.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18420
680.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14955
552.2 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1369
23.7 IPS |
