MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4059
Single Precision Score
30657
Half Precision Score
34268
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
15798
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
17474
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22808
369.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28365
459.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120816
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120046
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
17205
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19652
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39612
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
51893
616.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95766
737.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
119379
933.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22045
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226284
290.9 IPS |
|
|
Style Transfer (Q)
|
96% |
217848
281.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45895
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53268
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4970
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5056
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5001
86.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5255
90.8 IPS |
