MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2328
Single Precision Score
21963
Half Precision Score
24978
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 04:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.64 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
13364
2.49 KIPS |
|
|
Image Classification (Q)
|
99% |
18849
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16086
260.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
16159
262.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4066
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
103020
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
108318
127.1 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (HP)
|
100% |
13740
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
15905
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
25138
298.7 IPS |
|
|
Face Detection (Q)
|
100% |
39664
471.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72919
561.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
81479
630.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
158800
204.1 IPS |
|
|
Style Transfer (Q)
|
100% |
159365
204.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42061
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49235
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1826
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3892
67.3 IPS |
