MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9816
Single Precision Score
11469
Half Precision Score
9803
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | February 28 2026 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4248
790.0 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.1 IPS |
|
|
Image Classification (Q)
|
96% |
4432
827.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6590
106.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7179
116.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6843
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23401
27.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26489
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25831
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
4819
382.3 IPS |
|
|
Object Detection (Q)
|
91% |
4714
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
11535
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
15868
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
14619
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17856
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20098
154.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19048
149.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51283
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60208
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
57363
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10396
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10614
391.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9233
340.9 IPS |
|
|
Text Classification (SP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
8553
11.4 KIPS |
|
|
Text Classification (Q)
|
92% |
8788
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1714
29.6 IPS |
