MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4180
Single Precision Score
30239
Half Precision Score
34090
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 04:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1596
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
16096
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
19040
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21721
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27460
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121866
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120380
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
17286
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20543
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
38598
458.6 IPS |
|
|
Face Detection (Q)
|
100% |
50155
596.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7272
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96639
744.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120654
943.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22371
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
223788
287.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219274
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45015
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53279
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4854
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4778
82.6 IPS |
