MacBook Pro (16-inch, 2023)
Geekbench AI Score
11157
Single Precision Score
11798
Half Precision Score
10579
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5483
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4698
876.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8028
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8067
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8093
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45056
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47537
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44164
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5024
398.5 IPS |
|
|
Object Detection (HP)
|
100% |
5209
413.2 IPS |
|
|
Object Detection (Q)
|
91% |
4321
345.3 IPS |
|
|
Face Detection (SP)
|
100% |
17817
211.7 IPS |
|
|
Face Detection (HP)
|
100% |
19316
229.5 IPS |
|
|
Face Detection (Q)
|
100% |
13683
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25845
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27061
208.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22622
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80066
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85734
110.2 IPS |
|
|
Style Transfer (Q)
|
96% |
79926
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17463
644.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18477
682.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15378
567.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1586
27.4 IPS |
