MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4809
Single Precision Score
30717
Half Precision Score
33035
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 4.02 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
16267
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17771
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22170
359.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27337
443.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16778
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121578
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119547
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
19996
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
17777
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
4030
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
38310
455.2 IPS |
|
|
Face Detection (Q)
|
100% |
50249
597.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7438
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104490
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121811
952.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31270
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
223383
287.2 IPS |
|
|
Style Transfer (Q)
|
96% |
212138
273.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41093
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51094
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4798
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4866
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4743
82.0 IPS |
