MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10554
Single Precision Score
12189
Half Precision Score
10783
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | N4th4n |
| Upload Date | February 20 2025 03:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5532
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5981
1.11 KIPS |
|
|
Image Classification (Q)
|
97% |
4946
923.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6926
112.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8656
140.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8873
143.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34981
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36755
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34951
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5524
438.1 IPS |
|
|
Object Detection (HP)
|
100% |
5897
467.8 IPS |
|
|
Object Detection (Q)
|
91% |
4983
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
16135
191.7 IPS |
|
|
Face Detection (HP)
|
100% |
19028
226.1 IPS |
|
|
Face Detection (Q)
|
100% |
14058
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22774
175.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24600
189.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20978
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
77319
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
86670
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
81153
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13734
507.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15049
555.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11328
418.3 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2088
36.1 IPS |
