MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
20461
Single Precision Score
23110
Half Precision Score
21558
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 12 2026 05:38 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8327
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8652
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
8113
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19882
322.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21160
343.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19809
321.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
88067
102.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
97172
113.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92992
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
7716
612.0 IPS |
|
|
Object Detection (HP)
|
100% |
8409
667.0 IPS |
|
|
Object Detection (Q)
|
91% |
7748
619.3 IPS |
|
|
Face Detection (SP)
|
100% |
34321
407.8 IPS |
|
|
Face Detection (HP)
|
100% |
40022
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
36925
438.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38841
299.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41646
320.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38019
297.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186945
240.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208472
268.0 IPS |
|
|
Style Transfer (Q)
|
96% |
200612
258.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25469
940.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25828
953.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22894
845.4 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5028
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4943
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6438
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.5 IPS |
