MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3006
Single Precision Score
26678
Half Precision Score
29381
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 12 2024 08:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 2.62 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
14549
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
16801
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18180
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22832
370.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6433
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
90310
105.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89069
104.4 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
15357
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16159
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
30883
367.0 IPS |
|
|
Face Detection (Q)
|
100% |
39949
474.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5324
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79558
613.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96223
752.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15583
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
181716
233.6 IPS |
|
|
Style Transfer (Q)
|
96% |
174805
225.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39015
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45251
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4222
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6770
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7182
124.1 IPS |
