MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
16284
Single Precision Score
20465
Half Precision Score
18988
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | beret |
| Upload Date | May 17 2025 11:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7673
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8183
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7513
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17432
282.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16381
265.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66285
77.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70426
82.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
68536
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
7069
560.7 IPS |
|
|
Object Detection (HP)
|
100% |
7810
619.5 IPS |
|
|
Object Detection (Q)
|
92% |
7021
560.5 IPS |
|
|
Face Detection (SP)
|
100% |
26689
317.1 IPS |
|
|
Face Detection (HP)
|
100% |
32890
390.8 IPS |
|
|
Face Detection (Q)
|
100% |
26453
314.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34449
265.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34862
268.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
32212
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
145180
186.6 IPS |
|
|
Style Transfer (HP)
|
100% |
159670
205.3 IPS |
|
|
Style Transfer (Q)
|
96% |
155442
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22337
824.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22262
822.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19580
723.0 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7607
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7600
131.3 IPS |
