MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4175
Single Precision Score
30538
Half Precision Score
33468
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 10:29 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
17076
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
17889
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22227
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27246
441.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8978
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122779
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119719
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
17253
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19696
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
38701
459.8 IPS |
|
|
Face Detection (Q)
|
100% |
44534
529.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7268
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97192
748.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121105
946.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22363
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224248
288.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218925
282.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44537
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54390
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4947
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4830
83.5 IPS |
