MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
17637
Single Precision Score
20460
Half Precision Score
18058
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:08 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8079
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8409
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7238
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16811
272.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17432
282.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18259
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
92311
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95464
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89314
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
7812
619.7 IPS |
|
|
Object Detection (HP)
|
100% |
8530
676.6 IPS |
|
|
Object Detection (Q)
|
91% |
7281
581.8 IPS |
|
|
Face Detection (SP)
|
100% |
32557
386.8 IPS |
|
|
Face Detection (HP)
|
100% |
35727
424.5 IPS |
|
|
Face Detection (Q)
|
100% |
28014
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38126
293.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40856
314.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
34894
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
187390
240.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207814
267.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188174
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24732
913.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26139
965.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21163
781.5 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4661
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2365
40.9 IPS |
