MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4202
Single Precision Score
32345
Half Precision Score
36768
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | February 28 2026 08:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
15639
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
18591
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21182
343.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27982
453.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
121097
141.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120728
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
17645
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
21116
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41108
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
57060
678.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6936
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97149
748.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123416
964.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21751
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
230219
295.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218438
281.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47779
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55039
2.03 KIPS |
|
|
Text Classification (SP)
|
99% |
5390
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
9020
12.0 KIPS |
|
|
Text Classification (Q)
|
92% |
8541
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4709
81.4 IPS |
