MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10527
Single Precision Score
12276
Half Precision Score
10661
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 04:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5458
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5930
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
4923
918.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6808
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8586
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8833
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34891
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36731
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34911
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5516
437.6 IPS |
|
|
Object Detection (HP)
|
100% |
5972
473.7 IPS |
|
|
Object Detection (Q)
|
91% |
4954
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
16073
191.0 IPS |
|
|
Face Detection (HP)
|
100% |
19351
229.9 IPS |
|
|
Face Detection (Q)
|
100% |
14424
171.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23091
177.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24604
189.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20953
163.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76937
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86722
111.5 IPS |
|
|
Style Transfer (Q)
|
96% |
81063
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13754
507.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15498
572.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11302
417.3 IPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4823
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1890
32.7 IPS |
