MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2552
Single Precision Score
16710
Half Precision Score
18768
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 27 2025 02:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
7814
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
7734
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6655
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12939
209.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8440
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
103581
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103270
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
9834
780.0 IPS |
|
|
Object Detection (Q)
|
93% |
10517
839.2 IPS |
|
|
Face Detection (SP)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
13437
159.7 IPS |
|
|
Face Detection (Q)
|
100% |
14831
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4626
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58212
448.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
70565
551.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12392
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152289
195.8 IPS |
|
|
Style Transfer (Q)
|
96% |
142651
184.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21121
779.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26807
989.9 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4539
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4529
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2753
47.6 IPS |
