MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4131
Single Precision Score
31572
Half Precision Score
35537
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | March 24 2026 05:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
17783
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
20516
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22073
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27254
441.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8921
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122153
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
122143
143.2 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.7 IPS |
|
|
Object Detection (HP)
|
100% |
18628
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
21619
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
40017
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
52702
626.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7150
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98738
760.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124500
973.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22466
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230336
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
221014
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48461
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58025
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4610
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4809
83.1 IPS |
