MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
16140
Single Precision Score
20397
Half Precision Score
19104
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | chelozzz |
| Upload Date | September 02 2025 05:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7757
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8047
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16306
264.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17296
280.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16465
266.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66790
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70598
82.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
68628
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
7516
596.2 IPS |
|
|
Object Detection (HP)
|
100% |
8028
636.8 IPS |
|
|
Object Detection (Q)
|
92% |
7287
581.6 IPS |
|
|
Face Detection (SP)
|
100% |
27473
326.4 IPS |
|
|
Face Detection (HP)
|
100% |
28760
341.7 IPS |
|
|
Face Detection (Q)
|
100% |
24303
288.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33489
258.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35832
276.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
32854
256.6 IPS |
|
|
Style Transfer (SP)
|
100% |
146964
188.9 IPS |
|
|
Style Transfer (HP)
|
100% |
159852
205.5 IPS |
|
|
Style Transfer (Q)
|
96% |
156718
202.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22439
828.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22799
841.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19911
735.2 IPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7539
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7551
130.5 IPS |
