MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
19665
Single Precision Score
22057
Half Precision Score
20610
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 05 2025 06:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
8215
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8642
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7740
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19448
315.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20011
324.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19788
320.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
88147
102.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
96678
112.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
92948
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
7331
581.5 IPS |
|
|
Object Detection (HP)
|
100% |
8024
636.5 IPS |
|
|
Object Detection (Q)
|
92% |
7740
617.8 IPS |
|
|
Face Detection (SP)
|
100% |
32525
386.5 IPS |
|
|
Face Detection (HP)
|
100% |
37116
441.0 IPS |
|
|
Face Detection (Q)
|
100% |
30673
364.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38036
293.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41224
317.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37097
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
182073
234.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205991
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
199178
257.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24659
910.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25026
924.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21357
788.6 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4919
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5272
91.1 IPS |
