MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4137
Single Precision Score
31444
Half Precision Score
35207
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | August 19 2025 05:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
17878
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
20428
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21769
352.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26737
433.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122063
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121184
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
18532
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20858
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39846
473.5 IPS |
|
|
Face Detection (Q)
|
100% |
52200
620.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98726
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
123995
969.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22504
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228387
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220199
284.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48257
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57775
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5358
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4589
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4805
83.0 IPS |
