MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4057
Single Precision Score
26983
Half Precision Score
29899
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bonneville |
| Upload Date | November 02 2025 11:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
15654
2.91 KIPS |
|
|
Image Classification (Q)
|
99% |
17583
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17774
288.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
17837
289.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8419
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
116662
136.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
116042
136.1 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
16251
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
20355
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
26277
312.2 IPS |
|
|
Face Detection (Q)
|
100% |
41146
488.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77244
595.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
87753
678.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21868
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166052
213.5 IPS |
|
|
Style Transfer (Q)
|
100% |
166116
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4944
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46838
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50511
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4974
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5135
88.7 IPS |
