MacBook Pro (14-inch, 2023)
Geekbench AI Score
3253
Single Precision Score
22043
Half Precision Score
24369
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aeonsim |
| Upload Date | September 21 2024 11:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 2.36 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
202.8 IPS |
|
|
Image Classification (HP)
|
100% |
13976
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16148
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10119
164.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11281
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9787
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106749
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105776
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
15496
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16865
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
30011
356.6 IPS |
|
|
Face Detection (Q)
|
100% |
38511
457.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86796
668.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107704
841.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19391
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205958
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194514
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41577
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50596
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3118
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1786
30.9 IPS |
