MacBook Pro (14-inch, 2023)
Geekbench AI Score
4106
Single Precision Score
27174
Half Precision Score
30769
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | matthewbahri |
| Upload Date | November 09 2024 04:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
14167
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
16971
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19433
315.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24480
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12531
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106007
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105606
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
99% |
15561
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17488
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
33607
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
42198
501.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87533
674.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109054
852.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25208
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203021
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194433
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41761
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50903
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4819
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5494
94.9 IPS |
