MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
16967
Single Precision Score
19117
Half Precision Score
16994
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 20 2026 12:52 AM |
| Views | 10 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7417
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7960
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7081
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16011
259.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16765
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16333
264.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
64032
74.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71967
84.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
69142
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
6945
550.9 IPS |
|
|
Object Detection (HP)
|
100% |
7274
577.0 IPS |
|
|
Object Detection (Q)
|
92% |
7152
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
27280
324.1 IPS |
|
|
Face Detection (HP)
|
100% |
32122
381.7 IPS |
|
|
Face Detection (Q)
|
100% |
26406
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32283
248.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34992
269.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
31826
248.6 IPS |
|
|
Style Transfer (SP)
|
100% |
139998
180.0 IPS |
|
|
Style Transfer (HP)
|
100% |
158375
203.6 IPS |
|
|
Style Transfer (Q)
|
96% |
156468
201.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20672
763.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19869
733.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18147
670.1 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4950
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5074
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5332
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3055
52.8 IPS |
