MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19790
Single Precision Score
22126
Half Precision Score
20914
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | April 06 2025 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8172
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8382
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7859
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19848
321.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20605
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20053
325.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92093
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95055
110.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
92007
107.8 IPS |
|
|
Object Detection (SP)
|
100% |
7645
606.4 IPS |
|
|
Object Detection (HP)
|
100% |
8483
672.9 IPS |
|
|
Object Detection (Q)
|
92% |
7823
624.4 IPS |
|
|
Face Detection (SP)
|
100% |
32352
384.4 IPS |
|
|
Face Detection (HP)
|
100% |
34736
412.7 IPS |
|
|
Face Detection (Q)
|
100% |
30035
356.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38777
298.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41520
319.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38121
298.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187133
240.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206251
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
197479
254.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24580
907.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26468
977.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23266
859.1 IPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5074
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5319
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5288
91.4 IPS |
