MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3730
Single Precision Score
29505
Half Precision Score
33558
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | luispepe |
| Upload Date | December 17 2025 09:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.75 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
15000
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
18396
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21325
345.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26094
423.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7120
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
110885
129.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
114573
134.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
17516
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20086
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39024
463.7 IPS |
|
|
Face Detection (Q)
|
100% |
49437
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6622
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96797
745.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121793
952.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21226
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
224385
288.5 IPS |
|
|
Style Transfer (Q)
|
96% |
217854
281.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45111
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53926
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5144
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4507
77.9 IPS |
