MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4811
Single Precision Score
29341
Half Precision Score
32544
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | February 01 2025 01:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (HP)
|
100% |
16028
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17261
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21835
354.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26994
437.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16734
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120096
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118427
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
16501
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16430
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
38099
452.7 IPS |
|
|
Face Detection (Q)
|
100% |
48172
572.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7323
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101176
779.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
115577
903.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30829
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
215748
277.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210014
271.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37501
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51356
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5158
89.1 IPS |
