MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9237
Single Precision Score
10661
Half Precision Score
9740
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 12 2024 08:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5345
993.9 IPS |
|
|
Image Classification (HP)
|
100% |
5759
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4842
903.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6705
108.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8391
136.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8717
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34817
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36706
42.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
34946
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (HP)
|
100% |
4695
372.4 IPS |
|
|
Object Detection (Q)
|
91% |
4931
394.0 IPS |
|
|
Face Detection (SP)
|
100% |
15369
182.6 IPS |
|
|
Face Detection (HP)
|
100% |
18116
215.3 IPS |
|
|
Face Detection (Q)
|
100% |
14193
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22623
174.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24655
189.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20881
163.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76863
98.8 IPS |
|
|
Style Transfer (HP)
|
100% |
86528
111.2 IPS |
|
|
Style Transfer (Q)
|
96% |
80992
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13858
511.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15089
557.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11365
419.6 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3613
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1072
18.5 IPS |
