MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
19164
Single Precision Score
21332
Half Precision Score
19977
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | August 18 2025 01:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
7556
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7889
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
7097
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19271
312.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19921
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19699
319.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
87784
102.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
95851
111.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
91755
107.5 IPS |
|
|
Object Detection (SP)
|
100% |
7265
576.3 IPS |
|
|
Object Detection (HP)
|
100% |
7810
619.5 IPS |
|
|
Object Detection (Q)
|
92% |
7630
609.0 IPS |
|
|
Face Detection (SP)
|
100% |
32570
387.0 IPS |
|
|
Face Detection (HP)
|
100% |
36728
436.4 IPS |
|
|
Face Detection (Q)
|
100% |
30652
364.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38312
295.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40634
313.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37215
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
181134
232.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205798
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
197141
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23558
869.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24315
897.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21013
775.9 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4612
79.7 IPS |
