MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3473
Single Precision Score
24693
Half Precision Score
25893
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | December 16 2025 02:26 AM |
| Views | 8 |
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 (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
13766
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
16568
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16732
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19180
310.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
107913
125.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105349
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
16693
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
16019
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
30467
362.0 IPS |
|
|
Face Detection (Q)
|
100% |
33966
403.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86098
663.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
85697
670.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19788
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
131006
168.4 IPS |
|
|
Style Transfer (Q)
|
96% |
177476
229.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4830
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40915
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41367
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2836
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2264
39.1 IPS |
