MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4798
Single Precision Score
31128
Half Precision Score
33879
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 07:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.68 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
16799
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
18125
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21845
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27517
446.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16284
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
120204
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118420
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
19266
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
19662
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
37129
441.2 IPS |
|
|
Face Detection (Q)
|
100% |
47518
564.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107569
828.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125429
980.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30724
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
220518
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
212032
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44318
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52780
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4725
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4841
83.7 IPS |
