MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
19911
Single Precision Score
22275
Half Precision Score
20939
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | abudooboo |
| Upload Date | January 02 2026 09:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
8647
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
8818
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
7853
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19613
317.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20380
330.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19984
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88363
103.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
96500
112.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
92686
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
7436
589.8 IPS |
|
|
Object Detection (HP)
|
100% |
8055
638.9 IPS |
|
|
Object Detection (Q)
|
92% |
7980
637.0 IPS |
|
|
Face Detection (SP)
|
100% |
33607
399.3 IPS |
|
|
Face Detection (HP)
|
100% |
37794
449.1 IPS |
|
|
Face Detection (Q)
|
100% |
31751
377.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38894
299.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41730
321.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38320
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183467
235.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203487
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
200094
258.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24705
912.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25319
934.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21606
797.8 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4943
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4947
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5361
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5366
92.7 IPS |
